FAST: Features from the Accelerated Segment TestTAG1/rbf/CVonline/LOCAL_COPIES/AV1011/AV1FeaturefromAcceleratedSegmentTest.pdfFAST: Features from the Accelerated Segment Test(Deepak Geetha Viswanathan)

Genetic Algorithms/ProgrammingTAG2/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node28.htmlGenetic algorithms(Neil Thacker and Tim Cootes)TAG2http://en.wikipedia.org/wiki/Genetic_algorithmsGenetic algorithms(Wikipedia)

Image Pyramids and Scale ReductionTAG3http://www.cns.nyu.edu/~eero/steerpyr/Steerable Pyramids(Eero Simoncelli)TAG3http://bigwww.epfl.ch/demo/pyrwavelets/index.htmlJAVA demo comparing Pyramid and Wavelet Transforms(EPFL Biomedical Imaging Group)TAG3http://www.prip.tuwien.ac.at/research/research-areas/image-pyramidsImage Pyramids(Technical University Graz)TAG3http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb3_67.pdfResolution Pyramids (PDF, Section 3.7, page 5)(Computer Vision, Dana Ballard and Christopher Brown)TAG3http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 3.4.2)(Computational Vision, H.A. Mallot, J.S. Allen)TAG3/rbf/CVonline/LOCAL_COPIES/MORSE/data-structures.pdfPyramids (PDF Sec 3.5.1)(Bryan Morse)TAG3http://www.icaen.uiowa.edu/~dip/LECTURE/DataStructures.html#pyramidsPyramids(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG3http://www.google.co.uk/url?sa=t&source=web&cd=1&sqi=2&ved=0CBYQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.40.1728%26rep%3Drep1%26type%3Dpdf&rct=j&q=The%20laplacian%20pyramid%20as%20a%20compact%20image%20code%20P.J.%20Burt%2C%20E.H.%20Adelson&ei=x7t0TZPvB4eYhQeL16jtBg&usg=AFQjCNFDB_fL5oukuwlbK2KAVvn5NSFDUA&sig2=NOC6TQbuBnFhjac9T5tcaAThe laplacian pyramid as a compact image code(P.J. Burt, E.H. Adelson)TAG3http://www.elec.york.ac.uk/visual/jar11/btpc/pyramids.htmlImage pyramids and trees(J.A. Robinson)TAG3http://ai.stanford.edu/~ruzon/tex_seg/node3.htmlImage Pyramids(M.A. Ruzon)TAG3http://www.eng.iastate.edu/ee528/sonkamaterial/chapter_3.htm#3.3%20%20%20%20Hierarchical%20data%20structures%A0Hierarchical data structures(J.A. Dickerson)TAG3http://en.wikipedia.org/wiki/Pyramid_(image_processing)Image pyramids(Wikipedia)

Level SetsTAG4http://mathworld.wolfram.com/LevelSet.htmlLevel Set(Eric Weisstein/Wolfram Research)TAG4http://en.wikipedia.org/wiki/Level_setLevel Set(Wikipedia)

Minimum Description LengthTAG5/rbf/CVonline/LOCAL_COPIES/DAVIES1/rd_mdl.htmlModel-Fitting Using the Minimum Description Length Principle(Rhodri Davies, Tim Cootes and Chris Taylor)TAG5/rbf/CVonline/LOCAL_COPIES/GOMEZ1/Estimating local variance for Gaussian filtering (See Section 3)(Giovani Gomez)TAG5http://en.wikipedia.org/wiki/Minimum_description_lengthMinimum Description Length(Wikipedia)

Multiple Scales/ResolutionsTAG6http://www.nada.kth.se/~tony/cern-review/cern-html/node1.htmlThe need for multi-scale representation of image data(Tony Lindeberg)TAG6http://www.cs.technion.ac.il/~ron/belt-html/belt-html.htmlScale reduction by treating images as embedding maps and minimal surfaces(Ron Kimmel)TAG6/rbf/CVonline/LOCAL_COPIES/RAMANI1/node28.htmlOrigin of scale(Ramani Pichumani)TAG6http://cognet.mit.edu/library/books/view?isbn=0262133814Psychophysics of resolution (PDF - (CogNet Access Req.) Part 3.4.1)(Computational Vision, H.A. Mallot, J.S. Allen)

FractalsTAG7http://mathworld.wolfram.com/Fractal.htmlFractal(Eric Weisstein/Wolfram Research)TAG7/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfFractals in shape analysis (PDF pg 2.37)(Volodymyr Kindratenko)TAG7http://en.wikipedia.org/wiki/FractalFractals(Wikipedia)

WaveletsTAG8http://mathworld.wolfram.com/Wavelet.htmlWavelet(Eric Weisstein/Wolfram Research)TAG8http://www.amara.com/ftpstuff/IEEEwavelet.ps.gzAn Introduction To Wavelets (PS)(Amara Graps)TAG8http://research.microsoft.com/en-us/um/people/viola/Pubs/MIT/debonetNips97.pdfA Non-parametric Multi-Scale Statistical Model for Natural Images (PDF)(Jeremy S. De Bonet, Paul Viola)TAG8http://www.cs.kuleuven.ac.be/~nalag/papers/geert/PhD/Wavelets: Software and Applications(Geert Uytterhoeven)TAG8http://www2.isye.gatech.edu/~brani/wp/kidsA.psWavelets for Kids (PS)(Brani Vidakovic, Peter Mueller)TAG8http://en.wikipedia.org/wiki/WaveletWavelets(Wikipedia)

Bayesian Inference NetworksTAG9/rbf/CVonline/LOCAL_COPIES/RAMANI1/node40.htmlThe Bayesian model (see also next 2 sections)(Ramani Pichumani)TAG9/rbf/CVonline/LOCAL_COPIES/RAMANI1/node41.htmlImage segmentation using belief networks(Ramani Pichumani)TAG9https://www.doc.ic.ac.uk/~gzy/teaching/vision/vision-s19.pdfBayesian Inference in Vision(Imperial College, London)TAG9http://en.wikipedia.org/wiki/Bayesian_networkBayesian Networks(Wikipedia)

Wavelet NetworksTAG10/rbf/CVonline/LOCAL_COPIES/KRUGER/cvonline.htmlWavelet Networks for Vision(Volker Krger)TAG10/rbf/CVonline/LOCAL_COPIES/AV0809/martinmoraud.pdfWavelet Networks(Eduardo Martin Moraud)

RelaxationTAG11/rbf/CVonline/LOCAL_COPIES/MARBLE/high/matching/relax.htmRelaxation Labeling(Andrew Wallace and Sarah Price)TAG11http://en.wikipedia.org/wiki/Relaxation_labellingRelaxation Labeling(Wikipedia)

Discrete RelaxationTAG12http://www.icaen.uiowa.edu/~dip/LECTURE/Understanding5.html#discreteDiscrete relaxation(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG12/rbf/CVonline/LOCAL_COPIES/MARSHALL/node61.htmlRelaxation labelling methods(Dave Marshall)TAG12http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb12_4.pdfScene Labeling and Constraint Relaxation (PDF, Section 12.4, page 1)(Computer Vision, Dana Ballard and Christopher Brown)TAG12http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb12_5.pdfActive Knowledge (PDF, Section 12.5, page 1)(Computer Vision, Dana Ballard and Christopher Brown)TAG12http://en.wikipedia.org/wiki/Relaxation_labellingRelaxation Labeling(Wikipedia)

Probabilistic RelaxationTAG13/rbf/CVonline/LOCAL_COPIES/MARSHALL/node43.htmlOveriew of probabilistic relaxation labelling(Dave Marshall)TAG13/rbf/CVonline/LOCAL_COPIES/MARSHALL/node44.htmlApplications of probabilistic relaxation labelling(Dave Marshall)TAG13http://www.icaen.uiowa.edu/~dip/LECTURE/Understanding5.html#probabilisticProbabilistic relaxation(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG13http://www.cs.cf.ac.uk/Dave/AI2/node188.htmlRelaxation Labelling(David Marshall)TAG13http://en.wikipedia.org/wiki/Relaxation_labellingRelaxation Labeling(Wikipedia)

Tensor VotingTAG14/rbf/CVonline/LOCAL_COPIES/MORDOHAI/tensorvoting.htmlTensor Voting(Grard Medioni)

3D VisionTAG15http://www.icaen.uiowa.edu/~dip/LECTURE/3DVisionP1_1.html3D vision tasks(Milan Sonka, Vaclav Hlavac, and Roger Boyle)

Purposive VisionTAG16http://www.icaen.uiowa.edu/~dip/LECTURE/3DVisionP1_1.html#otherPurposive paradigm(Milan Sonka, Vaclav Hlavac, and Roger Boyle)

Qualitative VisionTAG17http://www.icaen.uiowa.edu/~dip/LECTURE/3DVisionP1_1.html#otherQualitative vision(Milan Sonka, Vaclav Hlavac, and Roger Boyle)

Coordinate SystemsTAG18http://www.compadre.org/PSRC/items/detail.cfm?ID=66Solid Angles (PDF ch 7)(Alex Ryer)TAG18http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node2.htmlCoordinate Systems in the Plane(Silvio Levy and the University of Minnesota's Geometry Center)TAG18http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node38.htmlCoordinate Systems in Space(Silvio Levy and the University of Minnesota's Geometry Center)TAG18http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfCoordinate Systems (PDF, Section A1.1, page 1)(Computer Vision, Dana Ballard and Christopher Brown)TAG18http://en.wikipedia.org/wiki/Coordinate_systemCoordinate Systems(Wikipedia)

Cartesian: RectangularTAG19http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node4.htmlCartesian Coordinates in the Plane(Silvio Levy and the University of Minnesota's Geometry Center)TAG19http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node39.htmlCartesian Coordinates in Space(Silvio Levy and the University of Minnesota's Geometry Center)TAG19http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfCartesian (PDF, Section A1.1.1, page 1)(Computer Vision, Dana Ballard and Christopher Brown)TAG19http://en.wikipedia.org/wiki/Cartesian_coordinate_systemCartesian Coordinate System(Wikipedia)

Cylindrical Coordinate SystemTAG20http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node40.htmlCylindrical Coordinates in Space(Silvio Levy and the University of Minnesota's Geometry Center)TAG20http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfSpherical and Cylindrical (PDF, Section A1.1.3, page 2)(Computer Vision, Dana Ballard and Christopher Brown)TAG20http://en.wikipedia.org/wiki/Cylindrical_coordinate_systemCylindrical Coordinate System(Wikipedia)

Log-Polar Coordinate SystemTAG21/rbf/CVonline/LOCAL_COPIES/YOUNG2/Finding straight lines and circles in log-polar images(David Young)TAG21/rbf/CVonline/LOCAL_COPIES/DRAPER2/L17.pdfSimilarity Transforms (PDF, pg 2)(Bruce Draper and J. Ross Beveridge)TAG21http://www.maths.abdn.ac.uk/~igc/tch/ma1002/diff/node46.htmlPolar Coordinates(Ian Craw)TAG21http://en.wikipedia.org/wiki/Log-polar_coordinatesLog-Polar Coordinate System(Wikipedia)

Polar Coordinate SystemTAG22http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node5.htmlPolar Coordinates in the Plane(Silvio Levy and the University of Minnesota's Geometry Center)TAG22http://www.maths.abdn.ac.uk/~igc/tch/ma1002/diff/node46.htmlPolar Coordinates(Ian Craw)TAG22http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfPolar and Polar Space (PDF, Section A1.1.2, page 1)(Computer Vision, Dana Ballard and Christopher Brown)TAG22http://en.wikipedia.org/wiki/Polar_coordinate_systemPolar Coordinate System(Wikipedia)

Spherical Coordinate SystemTAG23http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node41.htmlSpherical Coordinates in Space(Silvio Levy and the University of Minnesota's Geometry Center)TAG23http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfSpherical and Cylindrical (PDF, Section A1.1.3, page 2)(Computer Vision, Dana Ballard and Christopher Brown)TAG23http://en.wikipedia.org/wiki/Spherical_coordinate_systemSpherical Coordinate System(Wikipedia)

Dual Space RepresentationTAG24http://mathworld.wolfram.com/DualSpace.htmlDual Space(Eric Weisstein/Wolfram Research)TAG24http://en.wikipedia.org/wiki/Dual_spaceDual Space(Wikipedia)

Homogeneous CoordinatesTAG25/rbf/CVonline/LOCAL_COPIES/BEARDSLEY/node1.htmlHomogeneous Coordinates(Paul Beardsley)TAG25/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node7.htmlHomogeneous Coordinates(Roger Mohr and Bill Triggs)TAG25/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node20.htmlHomogeneous Representations(Andrew Zisserman)TAG25/rbf/CVonline/LOCAL_COPIES/BEARDSLEY/node2.htmlHomogeneous Point and Line Representations(Paul Beardsley)TAG25/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node4.htmlHomogeneous Coordinates(Stan Birchfield)TAG25http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node6.htmlHomogeneous Coordinates in the Plane(Silvio Levy and the University of Minnesota's Geometry Center)TAG25http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node43.htmlHomogeneous Coordinates in Space(Silvio Levy and the University of Minnesota's Geometry Center)TAG25/rbf/CVonline/LOCAL_COPIES/TORR1/index.htmlHomogeneous and Projective Coordinates (PS file. See pg 18 / Section 4.3)(Philip Torr)TAG25http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfHomogeneous Coordinates (PDF, Section A1.1.4, page 3)(Computer Vision, Dana Ballard and Christopher Brown)TAG25http://homepages.inf.ed.ac.uk/rbf/BOOKS/VERNON/Chap008.pdfDescription of object pose with homogenous transformations (PDF, Section 8.2, pages 2-5)(Machine Vision; David Vernon)TAG25http://en.wikipedia.org/wiki/Homogeneous_coordinatesHomogeneous Coordinates(Wikipedia)

Pose/Rotation/Orientation RepresentationsTAG26/rbf/CVonline/LOCAL_COPIES/MARBLE/high/pose/express.htmExpressing Pose: rotation and translation matrices and vectors(Andrew Wallace and Sarah Price)TAG26/rbf/CVonline/LOCAL_COPIES/ROSENHAHN1/CVOnlinePose.htmlFoundations about 2D-3D Pose Estimation (PDF, pg 5)(Bodo Rosenhahn, Christian Perwass, Gerald Sommer)TAG26http://homepages.inf.ed.ac.uk/rbf/BOOKS/VERNON/Chap008.pdfDescription of object pose with homogenous transformations (PDF, Section 8.2, pages 2-5)(Machine Vision; David Vernon)TAG26http://cvlab.epfl.ch/publications/publications/2005/LepetitF05.pdfSmall Angle Linearization of Rotations (PDF page 14)(Vincent Lepetit and Pascal Fua)TAG26http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/55-59.pdfOn The Reconstruction of a Scene from Two Unregistered Images (PDF chapter 7 section 2)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG26http://en.wikipedia.org/wiki/Pose_(computer_vision)Pose(Wikipedia)TAG26http://en.wikipedia.org/wiki/Rotation_representation_(mathematics)Rotation Representation(Wikipedia)TAG26http://en.wikipedia.org/wiki/Orientation_(geometry)Orientation(Wikipedia)

Euler AnglesTAG27http://mathworld.wolfram.com/EulerAngles.htmlEuler Angles(Eric Weisstein/Wolfram Research)TAG27http://www.nowpublishers.com/product.aspx?product=CGV&doi=0600000001Euler Angles (PDF page 11)(Vincent Lepetit and Pascal Fua)TAG27http://en.wikipedia.org/wiki/Euler_anglesEuler Angles(Wikipedia)

Quaternion/Dual-QuaternionTAG28http://mathworld.wolfram.com/EulerParameters.htmlEuler Parameters(Eric Weisstein/Wolfram Research)TAG28http://www.nowpublishers.com/product.aspx?product=CGV&doi=0600000001Quaternions (PDF page 12)(Vincent Lepetit and Pascal Fua)TAG28http://en.wikipedia.org/wiki/QuaternionQuaternion(Wikipedia)TAG28http://en.wikipedia.org/wiki/Dual_quaternionDual-Quaternion(Wikipedia)

Rotation MatrixTAG29http://mathworld.wolfram.com/RotationMatrix.htmlRotation Matrix(Eric Weisstein/Wolfram Research)TAG29http://en.wikipedia.org/wiki/Rotation_matrixRotation Matrix(Wikipedia)

Bhattacharyya DistanceTAG31/rbf/CVonline/LOCAL_COPIES/DAVIES1/rd_bhatt_cvonline/rd_bhatt_cvonline.htmlModel Fitting using the Bhattacharyya Measure(Rhodri Davies, Neil Thacker and Chris Taylor)TAG31/rbf/CVonline/LOCAL_COPIES/SHAHROKNI1/node8.htmlNon-parametric Distribution Comparison(Ali Shahrokni, Tom Drummond and Pascal Fua)TAG31http://en.wikipedia.org/wiki/Bhattacharyya_distanceBhattacharyya Distance(Wikipedia)

Earth Mover's DistanceTAG32/rbf/CVonline/LOCAL_COPIES/RUBNER/emd.htmEarth Mover's Distance(Yossi Rubner)TAG32/rbf/CVonline/LOCAL_COPIES/SHAHROKNI1/node8.htmlNon-parametric distribution comparison(Ali Shahrokni, Tom Drummond and Pascal Fua)TAG32http://en.wikipedia.org/wiki/Earth_mover%27s_distanceEarth Mover's Distance(Wikipedia)

Euclidean DistanceTAG33http://www.icaen.uiowa.edu/~dip/LECTURE/ImageProperties3.html#propertiesMetric and topological properties of digital images(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG33/rbf/CVonline/LOCAL_COPIES/WAHL1/node5.htmlSurflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification(Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger)TAG33http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdfAlgorithms for Clustering Data (PDF section 2.2.1)(Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)TAG33http://en.wikipedia.org/wiki/Euclidean_distanceEuclidean Distance(Wikipedia)

Hausdorff DistanceTAG34/rbf/CVonline/LOCAL_COPIES/CHETVERIKOV/mysquash/node4.htmlThe Hausdorff Distance(Dmitry Chetverikov, Yuri Khenokh and Judit Verestoy)TAG34http://www.cs.cornell.edu/vision/hausdorff/hausmatch.htmlHausdorff-Based Image Comparison(Cornell University Computer Vision Group)TAG34/rbf/CVonline/LOCAL_COPIES/DRAPER2/L21.pdfHausdorff Metric (PDF, pg 1-2)(Bruce Draper and J. Ross Beveridge)TAG34http://en.wikipedia.org/wiki/Hausdorff_distanceHausdorff Distance(Wikipedia)

Mahalanobis DistanceTAG35/rbf/CVonline/LOCAL_COPIES/FISHER/MAHAL/mahal.htmMahalanobis Distance Metric(Bob Fisher)TAG35http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdfAlgorithms for Clustering Data (PDF section 2.2.1)(Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)TAG35http://en.wikipedia.org/wiki/Mahalanobis_distanceMahalanobis Distance(Wikipedia)

Manhatten or city-blockTAG36http://www.icaen.uiowa.edu/~dip/LECTURE/ImageProperties3.html#propertiesMetric and topological properties of digital images(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG36http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdfAlgorithms for Clustering Data (PDF section 2.2.1)(Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)TAG36http://en.wikipedia.org/wiki/Taxicab_geometryManhattan Distance(Wikipedia)

Coordinate Systems, Vectors, Matrices, Derivatives and Gradients, ProbabilityTAG37/rbf/CVonline/LOCAL_COPIES/BASICMAT/basicmat.htmlReview of elementary mathematics for vision students(Bob Fisher)TAG37http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfVectors (PDF, Section A1.3, page 5)(Computer Vision, Dana Ballard and Christopher Brown)TAG37http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfMatrics (PDF, Section A1.4, page 7)(Computer Vision, Dana Ballard and Christopher Brown)TAG37/rbf/CVonline/LOCAL_COPIES/BOWYER1/rv.htmVectors and Set-Theory Revision(Adrian Bowyer, University of Bath)TAG37http://en.wikipedia.org/wiki/Coordinate_systemCoordinate Systems(Wikipedia)TAG37http://en.wikipedia.org/wiki/Matrix_(mathematics)Matrices(Wikipedia)TAG37http://en.wikipedia.org/wiki/DerivativeDerivatives(Wikipedia)TAG37http://en.wikipedia.org/wiki/GradientGradients(Wikipedia)TAG37http://en.wikipedia.org/wiki/ProbabilityProbability(Wikipedia)

Colposcopy/Cervical AbnormalityTAG38/rbf/CVonline/LOCAL_COPIES/AV0506/s0094336.pdfImage segmentation of Uterine cervix images (PDF)(Antonios Perperidis)TAG38http://en.wikipedia.org/wiki/ColposcopyColposcopy(Wikipedia)

Function OptimizationTAG39/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node2.htmlStatistical background info for the optimization techniques discussed below(Neil Thacker and Tim Cootes)TAG39/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node15.htmlOverview of optimization(Neil Thacker and Tim Cootes)TAG39/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node10.htmlOverview of optimization parameter estimation(Neil Thacker and Tim Cootes)TAG39/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node11.htmlEstimation of Chi-squared covariance(Neil Thacker and Tim Cootes)TAG39http://en.wikipedia.org/wiki/Mathematical_optimizationMathematical Optimization(Wikipedia)

1D Function Optimization and Golden SectionTAG40/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node16.htmlOptimization of 1D functions(Neil Thacker and Tim Cootes)TAG40/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node17.htmlGolden section search(Neil Thacker and Tim Cootes)TAG40http://en.wikipedia.org/wiki/Mathematical_optimizationMathematical Optimization(Wikipedia)TAG40http://en.wikipedia.org/wiki/Golden_section_searchGolden Section Search(Wikipedia)

Constrained Optimization and Lagrange MultipliersTAG41/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node8.htmlLagrange techniques(Neil Thacker and Tim Cootes)TAG41http://en.wikipedia.org/wiki/Lagrange_multiplierLagrange Multipliers(Wikipedia)TAG41http://en.wikipedia.org/wiki/Constrained_optimizationConstrained Optimization(Wikipedia)

Multi-Dimensional OptimizationTAG42/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node18.htmlMulti-dimensional search overview(Neil Thacker and Tim Cootes)

Derivative Free SearchTAG43/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node19.htmlBasic search with no derivatives)(Neil Thacker and Tim Cootes)TAG43/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node20.htmlConjugate directions(Neil Thacker and Tim Cootes)

Global OptimizationTAG44/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node25.htmlGlobal optimization overview(Neil Thacker and Tim Cootes)TAG44http://www.cs.sandia.gov/opt/survey/A Survey of Global Optimization Methods(Perry Gray, William Hart, Laura Painton, Cindy Phillips, Mike Trahan, John Wagner)TAG44http://plato.la.asu.edu/gom.htmlContinuous Global Optimization Software: A Brief Review(Janos D. Pinter)TAG44http://en.wikipedia.org/wiki/Global_optimizationGlobal Optimization(Wikipedia)

Downhill Simplex OptimizationTAG45/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node26.htmlSimplex algorithm(Neil Thacker and Tim Cootes)TAG45http://paula.univ.gda.pl/~dokgrk/simplex.htmlDownhill Simplex Method for Many (~20) Dimensions(Grzegorz Kaczmarczyk)TAG45http://freehost26.websamba.com/zhanshan2002/matlab/simplex.htmlDownhill Simplex Method in Multidimensions(Zhanshan Dong)TAG45http://en.wikipedia.org/wiki/Downhill_simplex_methodDownhill Simplex Method(Wikipedia)

Graduated Non-Convexity and Multi-Resolution Optimization MethodsTAG46/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node29.htmlMulti-resolution methods and Graduated Non-Convexity(Neil Thacker and Tim Cootes)TAG46http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/119-130.pdfComparison of the Efficiency of Deterministic and Stochastic Algorithms for Visual Reconstruction (PDF chapter 15 section 2.3)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG46http://en.wikipedia.org/wiki/Graduated_optimizationGraduated Optimization(Wikipedia)

Simulated AnnealingTAG47/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node27.htmlSimulated annealing(Neil Thacker and Tim Cootes)TAG47http://www.che.eng.kmutt.ac.th/cheps/Opt_Projects/Simulated_Annealing_Luke.pdfSimulated Annealing(Brian T. Luke)TAG47http://www.taygeta.com/annealing/demo1.htmlA demonstration of Simulated Annealing(Taygeta Scientific Inc.)TAG47http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/131-137.pdfWeak Continuity Constrains Generate Uniform Scale-Space Descriptions of Plane Curves (PDF chapter 16 section 2)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG47http://en.wikipedia.org/wiki/Simulated_AnnealingSimulated Annealing(Wikipedia)

Optimization With DerivativesTAG48/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node21.htmlIntroduction to derivative based search(Neil Thacker and Tim Cootes)TAG48/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node24.htmlComment on use of memory by these methods(Neil Thacker and Tim Cootes)

Levenberg-Marquardt OptimizationTAG49/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node23.htmlLevenberg-Marquardt and second derivative methods(Neil Thacker and Tim Cootes)TAG49http://www.cs.unc.edu/~marc/tutorial/node160.htmlLevenberg-Marquardt Minimization(Marc Pollefeys)TAG49http://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithmLevenberg-Marquardt Algorithm(Wikipedia)

Newton and Gradient Descent Optimization AlgorithmsTAG50/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node22.htmlQuasi-Newton first-derivative methods(Neil Thacker and Tim Cootes)TAG50http://www.cs.unc.edu/~marc/tutorial/node160.htmlLevenberg-Marquardt minimization(Marc Pollefeys)TAG50/rbf/CVonline/LOCAL_COPIES/DRAPER2/L25.pdfNewton-Raphson Pose Determination(PDF, pg 1-4)(Bruce Draper and J. Ross Beveridge)TAG50http://www.nowpublishers.com/product.aspx?product=CGV&doi=0600000001Newton-Based Minimization (PDF page 21)(Vincent Lepetit and Pascal Fua)TAG50http://en.wikipedia.org/wiki/Gradient_descentGradient Descent(Wikipedia)TAG50http://en.wikipedia.org/wiki/Quasi-Newton_methodQuasi-Newton Method(Wikipedia)

Optimization Model SelectionTAG51/rbf/CVonline/LOCAL_COPIES/BUBNA/msel.htmlModel Selection in computer vision(Kishore Bubna and Charles V. Stewart)TAG51/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node9.htmlModel Selection(Neil Thacker and Tim Cootes)TAG51/rbf/CVonline/LOCAL_COPIES/GHEISSARI1/SSC.htmProblems in Model Selection for Range Segmentation(Niloofar Gheissari,Alireza Bab-Hadiashar)TAG51http://en.wikipedia.org/wiki/Model_selectionModel Selection(Wikipedia)

Variational Optimization MethodsTAG52http://mathworld.wolfram.com/CalculusofVariations.htmlCalculus of Variations(Eric Weisstein/Wolfram Research)TAG52http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/51-53.pdfEstimation of Stereo and Motion Parameters Using a Variational Principle (PDF chapter 6)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG52http://en.wikipedia.org/wiki/Calculus_of_variationsCalculus of Variations(Wikipedia)

EigenfunctionsTAG53http://mathworld.wolfram.com/Eigenfunction.htmlEigenfunction(Eric Weisstein/Wolfram Research)TAG53http://en.wikipedia.org/wiki/EigenfunctionEigenfunction(Wikipedia)

Eigenvalues/EigenvectorsTAG54http://mathworld.wolfram.com/Eigenvalue.htmlEigenvalue(Eric Weisstein/Wolfram Research)TAG54http://mathworld.wolfram.com/Eigenvector.htmlEigenvector(Eric Weisstein/Wolfram Research)TAG54http://www.quantlet.com/mdstat/scripts/xlg/html/xlghtmlnode106.htmlDecompositions(Methods and Data Quantlets)TAG54http://mathworld.wolfram.com/EigenDecomposition.htmlEigen Decomposition(Mathworld)TAG54http://mathworld.wolfram.com/topics/MatrixDecomposition.htmlMatrix Decomposition(Mathworld)TAG54http://www.ittiam.com/pages/competency/eigen_mmcsp_2001.pdfComputing the Eigen Decomposition of a Symmetric Matrix in Fixed-point Arithmetic(Ittiam Systems)TAG54http://cnx.org/content/m12561/latest/content_infoEigenvalue Decomposition(Rice University)TAG54http://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectorsEigenvalues and Eigenvectors(Wikipedia)

Principal Component Analysis/Karhunen-Loeve transformationTAG55http://en.wikipedia.org/wiki/Principal_components_analysisPrincipal components analysis(Wikipedia)TAG55/rbf/CVonline/LOCAL_COPIES/FISHER/PCA/pca.htmlPrincipal Component Analysis and Dataset Transformation(Bob Fisher)TAG55http://www.fon.hum.uva.nl/praat/manual/Principal_component_analysis.htmlPrincipal Component Analysis(Paul Boersma and David Weenink)TAG55/rbf/CVonline/LOCAL_COPIES/LACEY1/laceytut.pdfPrincipal Component Analysis (PDF file. pg 15)(N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)TAG55/rbf/CVonline/LOCAL_COPIES/DRAPER2/L14.pdfPCA 1 (PDF, pg 1-6)(Bruce Draper and J. Ross Beveridge)TAG55/rbf/CVonline/LOCAL_COPIES/DRAPER2/L15.pdfPCA 2 (PDF, pg 1-5)(Bruce Draper and J. Ross Beveridge)TAG55http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdfAlgorithms for Clustering Data (PDF section 2.4.1)(Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)TAG55http://en.wikipedia.org/wiki/Principal_component_analysisPrincipal Component Analysis(Wikipedia)TAG55http://en.wikipedia.org/wiki/Karhunen%E2%80%93Lo%C3%A8ve_theoremKarhunen-Loeve Theorem(Wikipedia)

Fisher Linear Discriminant TransformationTAG56/rbf/CVonline/LOCAL_COPIES/FISHER/FLD/fld.htmlFisher Linear Discriminant Analysis and Dataset Transformation(Bob Fisher)TAG56/rbf/CVonline/LOCAL_COPIES/LOOG1/CCCP.pdfDimensionality Reduction by Canonical Contextual Correlation Projections(Marco Loog, Bram van Ginneken, Robert P. Duin)TAG56http://en.wikipedia.org/wiki/Linear_discriminant_analysisLinear Discriminant Analysis(Wikipedia)

Independent Component Analysis (ICA)TAG57http://newbologna.vision.caltech.edu/welling/research/ERC/ERC_ICA.htmlhttp://www.google.co.uk/url?sa=t&source=web&cd=3&ved=0CC0QFjAC&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.29.1859%26rep%3Drep1%26type%3Dpdf&ei=ZRZxTcvNJI-KhQeNkZFO&usg=AFQjCNH34-J8CiYRInmv-qOHwuD9U2j6Zg&sig2=uc6yqotZqcB1vBCV2wpiIgIndependent Component Analysis of Incomplete Data(Max Welling and Markus Weber)TAG57http://cnl.salk.edu/~tony/ica.htmlAn ICA page - papers, code, demos, links(Tony Bell)TAG57http://cis.legacy.ics.tkk.fi/aapo/papers/IJCNN99_tutorialweb/Independent Component Analysis: A Tutorial(Aapo Hyvarinen, Erkki Oja)TAG57http://en.wikipedia.org/wiki/Independent_component_analysisIndependent Component Analysis(Wikipedia)

Kernel Linear Discriminant AnalysisTAG58/rbf/CVonline/LOCAL_COPIES/LI1/kda/index.htmlKernel Discriminant Analysis(Yongmin Li, Shaogang Gong, Heather Liddell)

Kernel Principal Component AnalysisTAG59/rbf/CVonline/LOCAL_COPIES/TWINING1/kpca2html.htmlKernel Principal Component Analysis(Carole Twining)TAG59http://en.wikipedia.org/wiki/Kernel_principal_component_analysisKernel Principal Component Analysis(Wikipedia)

Structure TensorTAG60http://www.cs.cmu.edu/~sarsen/structureTensorTutorial/Structure Tensor - Tutorial and Demonstration(Shawn Arseneau)TAG60http://en.wikipedia.org/wiki/Structure_TensorStructure Tensor(Wikipedia)

Singular Value DecompositionTAG61http://mathworld.wolfram.com/SingularValueDecomposition.htmlSingular Value Decomposition(Eric Weisstein/Wolfram Research)TAG61/rbf/CVonline/LOCAL_COPIES/TORR1/index.htmlSingular Value Decomposition and Least Square Fitting (PS file. See pg 69 / Appendix B)(Philip Torr)TAG61/rbf/CVonline/LOCAL_COPIES/DRAPER2/L14.pdfEigenspace 1 (PDF, pg 1-6)(Bruce Draper and J. Ross Beveridge)TAG61/rbf/CVonline/LOCAL_COPIES/DRAPER2/L15.pdfEigenspace 2 (PDF, pg 1-5)(Bruce Draper and J. Ross Beveridge)TAG61http://www.cse.iitd.ernet.in/~suban/cs210/tute6/node1.htmlSVD(Subhashis Banerjee)TAG61http://www.uwlax.edu/faculty/will/svd/index.htmlSingular Value Decomposition(Todd Will)TAG61http://en.wikipedia.org/wiki/Singular_value_decompositionSingular Value Decomposition(Wikipedia)

Multi-Sensor/Multi-View GeometriesTAG62/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node13.htmlTwo View Geometry Summary(Andrew Zisserman)TAG62/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node14.htmlTwo View Notation(Andrew Zisserman)TAG62/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004Two-View Geometry(Andrea Fusiello)TAG62/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-330005Multiple View Geometry(Andrea Fusiello)TAG62/rbf/CVonline/LOCAL_COPIES/FISHER/STEREORECON/stereorecon.htmlMetric, affine and projective point recovery summary(Bob Fisher)

3D Reconstruction from Multiple Images/Orthogonal ViewsTAG63/rbf/CVonline/LOCAL_COPIES/FUSIELLO3/review_cvol.htmlReview of Uncalibrated Euclidean Reconstruction(Andrea Fusiello)TAG63/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node51.html3D Reconstruction from Multiple Images(Roger Mohr and Bill Triggs)TAG63/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004Triangulation(Andrea Fusiello)TAG63/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-1300043D Reconstruction(Andrea Fusiello)TAG63/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-520007Algebraic vs geometric error(Andrea Fusiello)TAG63http://en.wikipedia.org/wiki/3D_reconstruction3D Reconstruction(Wikipedia)

Absolute ConicTAG64http://www.cs.unc.edu/~marc/tutorial/node87.htmlThe image of the absolute conic(Marc Pollefeys)TAG64/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-30003Image of the absolute conic(Andrea Fusiello)

Affine and Projective StereoTAG65http://mitpress.mit.edu/e-journals/Videre/001/articles/Zhang/CalibEnv/CalibEnv.htmlProjective reconstruction (See projective reconstruction)(Zhengyou Zhang)

Narrow Baseline StereoTAG66http://www.cs.unc.edu/~marc/tutorial/node112.htmlMulti-view stereo(Marc Pollefeys)TAG66http://cat.middlebury.edu/stereo/Middlebury Stereo Vision Page(Daniel Scharstein, Richard Szeliski)TAG66http://homepages.inf.ed.ac.uk/rbf/BOOKS/FISCHLER/scan/239-300.pdfChapter 9. Computational Vision(PDF Chapter 9 page 260, box 9.5)(M. A. Fischler, O. Firschein. Intelligence: The Eye, the Brain and the Computer. Addison-Wesley, 1987)

Wide Baseline StereoTAG67http://www.cs.unc.edu/~marc/tutorial/node112.htmlMulti-view stereo(Marc Pollefeys)TAG67http://www.nowpublishers.com/product.aspx?product=CGV&doi=0600000001Wide Baseline Matching (PDF page 68)(Vincent Lepetit and Pascal Fua)TAG67http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions#Robust_wide-baseline_algorithmRobust wide-baseline algorithm(Wikipedia)

Binocular StereoTAG68/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node46.htmlProjective stereo vision(Roger Mohr and Bill Triggs)TAG68/rbf/CVonline/LOCAL_COPIES/YOUNG/vision5.html#heading5Stereo geometry for parallel and converging cameras(David Young)TAG68/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/stereo/stereo.htmStereo Vision overview(Andrew Wallace and Sarah Price)TAG68/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/stereo/panum.htmPanum's fusional area(Andrew Wallace and Sarah Price)TAG68/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/stereo/random.htmRandom dot Stereograms(Andrew Wallace and Sarah Price)TAG68/rbf/CVonline/LOCAL_COPIES/MARSHALL/node11.htmlWhy use 3D data?(Dave Marshall)TAG68/rbf/CVonline/LOCAL_COPIES/MARSHALL/node12.htmlMethods of 3D Data Acquisition(Dave Marshall)TAG68/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node4.htmlGeneral stereo background(Robyn Owens)TAG68/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node6.htmlMarr and Poggio approach(Robyn Owens)TAG68/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node6.htmlOhta and Kanade approach(Robyn Owens)TAG68/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node6.htmlSRI approach(Robyn Owens)TAG68/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node6.htmlThe PMF system(Robyn Owens)TAG68/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node5.htmlProjective transformation between two images of a planar scene(Andrew Zisserman)TAG68/rbf/CVonline/LOCAL_COPIES/HENKEL/research/stereo/Binocular stereo overview with some nice examples(Rolf Henkel)TAG68/rbf/CVonline/LOCAL_COPIES/HENKEL/research/stereo/principle.htmlStereo Disparities and Depth(Rolf Henkel)TAG68/rbf/CVonline/LOCAL_COPIES/HENKEL/research/stereo/Cyclops/The Cyclopean View(Rolf Henkel)TAG68/rbf/CVonline/LOCAL_COPIES/TRAPP2/occlusion.htmlDetecting occlusions during stereo matching(Ralph Trapp)TAG68http://www.icaen.uiowa.edu/~dip/LECTURE/3DVisionP1_2.html#twocamerasTwo cameras, stereopsis(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG68/rbf/CVonline/LOCAL_COPIES/CANTZLER2/shape_stereo.htmlAn overview of shape from stereo(Helmut Cantzler)TAG68http://www.cmis.CSIRO.AU/IAP/RecentProjects/stereoEE02.htm3D Imaging Using Stereo Vision(Changming Sun)TAG68http://www.cs.unc.edu/~marc/tutorial/node43.htmlTwo view geometry(Marc Pollefeys)TAG68http://www.cs.unc.edu/~marc/tutorial/node109.htmlStereo matching(Marc Pollefeys)TAG68/rbf/CVonline/LOCAL_COPIES/TORR1/index.htmlRecovery of projective structure (PS file. See pg 49 / Chapter 7)(Philip Torr)TAG68/rbf/CVonline/LOCAL_COPIES/DRAPER2/L13.pdfStereo (PDF, pg 1-3)(Bruce Draper and J. Ross Beveridge)TAG68http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb3_45.pdfStereo Vision and Triangulation (PDF, Section 3.4.1, page 1)(Computer Vision, Dana Ballard and Christopher Brown)TAG68http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb3_45.pdfStereo Vision and Triangulation (PDF, Section 3.4.1, page 1)(Computer Vision, Dana Ballard and Christopher Brown)TAG68http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 6.3.2)(Computational Vision, H.A. Mallot, J.S. Allen)TAG68http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 6.2)(Computational Vision, H.A. Mallot, J.S. Allen)TAG68http://en.wikipedia.org/wiki/StereopsisStereopsis(Wikipedia)TAG68http://en.wikipedia.org/wiki/Binocular_disparityBinocular Disparity(Wikipedia)

Cooperative Stereo AlgorithmsTAG69/rbf/CVonline/LOCAL_COPIES/HENKEL/research/stereo/Coop/Classical cooperative stereo schemes(Rolf Henkel)TAG69/rbf/CVonline/LOCAL_COPIES/HENKEL/research/stereo/tyc/node1.htmlStereovision by coherence-detection(Rolf Henkel)

Disparity (Stereo)TAG70/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node4.htmlDisparity and depth(Robyn Owens)TAG70http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 6.2)(Computational Vision, H.A. Mallot, J.S. Allen)TAG70http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 6.1)(Computational Vision, H.A. Mallot, J.S. Allen)TAG70http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/11-24.pdfPFM: A Stereo Correspondence Algorithm using a Disparity Gradient Limit (PDF Chapter 1 section 2)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG70http://en.wikipedia.org/wiki/Binocular_disparityBinocular Disparity(Wikipedia)TAG70http://en.wikipedia.org/wiki/StereopsisStereopsis(Wikipedia)

Dense Stereo Matching ApproachesTAG71http://serdis.dis.ulpgc.es/~lalvarez/research/demos/StereoFlow/index.htmlDense Disparity Map Estimation Respecting Image Discontinuities (L.Alvarez, R.Deriche, J.Sanchez and J.Weickert)

Dynamic Programming (Stereo)TAG72http://www.cs.unc.edu/~marc/tutorial/node111.htmlConstrained matching(Marc Pollefeys)

Feature Matching Stereo AlgorithmsTAG73/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/stereo/detect.htmFeature Detection(Andrew Wallace and Sarah Price)TAG73/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/stereo/system.htmA stereo vision system(Andrew Wallace and Sarah Price)TAG73/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node5.htmlFeature matching(Robyn Owens)TAG73http://iris.usc.edu/Outlines/papers/2004/eccv-mordohai.pdfStereo using Monocular Cues within the Tensor Voting Framework(Gerard Medioni, Philippos Mordohai)TAG73http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 6.3.3)(Computational Vision, H.A. Mallot, J.S. Allen)TAG73http://en.wikipedia.org/wiki/Feature_detection_(computer_vision)Feature Detection(Wikipedia)

Image RectificationTAG74http://www.cs.unc.edu/~marc/tutorial/node97.htmlImage pair rectification(Marc Pollefeys)TAG74http://en.wikipedia.org/wiki/Image_rectificationImage rectification(Wikipedia)

Planar RectificationTAG75/rbf/CVonline/LOCAL_COPIES/FUSIELLO/tutorial.htmlRectification of Stereo Images(Andrea Fusiello)TAG75/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node11.htmlImage rectification(Robyn Owens)TAG75http://www.cs.unc.edu/~marc/tutorial/node98.htmlPlanar rectification(Marc Pollefeys)TAG75/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-520007Rectification(Andrea Fusiello)

Polar RectificationTAG76http://www.cs.unc.edu/~marc/tutorial/node99.htmlPolar rectification(Marc Pollefeys)TAG76/rbf/CVonline/LOCAL_COPIES/FUSIELLO2/rectif_cvol.htmlEpipolar Rectification(Andrea Fusiello)

Multi-Scale Stereo AlgorithmsTAG77/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node5.htmlCoarse-to-fine multiresolution matching(Robyn Owens)

Region Matching Stereo AlgorithmsTAG78/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/stereo/grey.htmGrey Level Correlation(Andrew Wallace and Sarah Price)TAG78/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node5.htmlIntensity matching(Robyn Owens)

Weakly/Uncalibrated Stereo ApproachesTAG79http://www.cs.unc.edu/~marc/pubs/PollefeysPhD.pdfMetric 3D reconstruction from uncalibrated image sequences (PDF)(Marc Pollefeys et al)TAG79/rbf/CVonline/LOCAL_COPIES/OWENS/LECT10/node6.htmlSelf-calibration/Uncalibrated stereo(Robyn Owens)TAG79http://mitpress.mit.edu/e-journals/Videre/001/articles/Zhang/CalibEnv/CalibEnv.htmlProjective reconstruction (See projective reconstruction)(Zhengyou Zhang)TAG79http://en.wikipedia.org/wiki/Projective_reconstruction_theorem#Projective_Reconstruction_TheoremProjective reconstruction(Wikipedia)

Epipolar GeometryTAG80/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node47.htmlEpipolar Geometry(Roger Mohr and Bill Triggs)TAG80/rbf/CVonline/LOCAL_COPIES/OWENS/LECT10/node3.htmlEpipolar geometry(Robyn Owens)TAG80/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node18.htmlEpipolar Geometry Definitions(Andrew Zisserman)TAG80/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node19.htmlEpipolar Geometry Examples(Andrew Zisserman)TAG80/rbf/CVonline/LOCAL_COPIES/SATO/node1.htmlEpipolar Geometry on Curved Surfaces(Jun Sato)TAG80/rbf/CVonline/LOCAL_COPIES/FUSIELLO/node4.htmlEpipolar geometry(Andrea Fusiello)TAG80http://www1.cs.columbia.edu/~jebara/htmlpapers/SFM/node8.htmlEpipolar geometry(Tony Jebara, Ali Azarbayejani and Alex Pentland)TAG80/rbf/CVonline/LOCAL_COPIES/LIVATINO2/CylEpiGeo/Cylindrical Epipolar Geometry(Salvatore Livatino)TAG80http://en.wikipedia.org/wiki/Epipolar_geometryEpipolar geometry(Wikipedia)

Essential MatrixTAG81/rbf/CVonline/LOCAL_COPIES/OWENS/LECT10/node3.htmlEssential matrix(Robyn Owens)TAG81/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node21.htmlThe Essential Matrix(Andrew Zisserman)TAG81/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node20.htmlEssential and fundamental matrices(Stan Birchfield)TAG81/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004The Essential Matrix E(Andrea Fusiello)TAG81http://en.wikipedia.org/wiki/Essential_matrixEssential Matrix(Wikipedia)

Fundamental (or F) MatrixTAG82http://mitpress.mit.edu/e-journals/Videre/001/articles/Zhang/CalibEnv/CalibEnv.htmlPinhole, Epipolar and Fundamental Matrix models (See Epipolar Geometry)(Zhengyou Zhang)TAG82http://danielwedge.com/fmatrix/The Fundamental Matrix Song(Daniel Wedge)TAG82/rbf/CVonline/LOCAL_COPIES/OWENS/LECT10/node3.htmlFundamental matrix(Robyn Owens)TAG82/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node22.htmlThe Fundamental Matrix(Andrew Zisserman)TAG82/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node23.htmlComputing the Fundamental Matrix(Andrew Zisserman)TAG82/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node24.htmlComputing the Fundamental Matrix Part 2(Andrew Zisserman)TAG82/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node20.htmlEssential and fundamental matrices(Stan Birchfield)TAG82http://www.cs.unc.edu/~marc/tutorial/node44.htmlRelation between the fundamental matrix and image homographies(Marc Pollefeys)TAG82http://www.cs.unc.edu/~marc/tutorial/node53.htmlEstimation of the Fundamental Matrix (7 point, 8 point, more and robust algorithms)(Marc Pollefeys)TAG82/rbf/CVonline/LOCAL_COPIES/TORR1/index.htmlFundamental Matrix (PS file. See pg 21 / Section 4.4)(Philip Torr)TAG82/rbf/CVonline/LOCAL_COPIES/TORR1/index.htmlEstimation of Fundamental Matrix (PS file. See pg 14/38 / Chapter 4/5)(Philip Torr)TAG82/rbf/CVonline/LOCAL_COPIES/TORR1/index.htmlDerivation of Fundamental Matrix (PS file. See pg 67 / Appendix A)(Philip Torr)TAG82/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004The Fundamental Matrix F(Andrea Fusiello)TAG82http://en.wikipedia.org/wiki/Fundamental_matrix_(computer_vision)Fundamental Matrix (computer vision)(Wikipedia)

Image Feature Correspondence ConstraintsTAG83/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/stereo/corresp.htmThe stereo correspondence problem(Andrew Wallace and Sarah Price)TAG83/rbf/CVonline/LOCAL_COPIES/YOUNG/vision5.html#heading8The correspondence problem(David Young)TAG83/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node5.htmlCorrespondence Constraints(Robyn Owens)TAG83/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node25.htmlEliminating F Estimation Mismatches(Andrew Zisserman)TAG83http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/95-101.pdfOptimal Combination of Multiple Sensors Including Stereo Vision (PDF chapter 12 section 13)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG83http://en.wikipedia.org/wiki/Correspondence_problemCorrespondence problem(Wikipedia)

Active Stereo (Feature Correspondence)TAG84/rbf/CVonline/LOCAL_COPIES/MARSHALL/node13.htmlCardiff's Active Stereo Vision System(Dave Marshall)TAG84/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node9.htmlActive stereo stripe ranging(Robyn Owens)

Disparity Gradient Limit (Feature Correspondence)TAG85http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/11-24.pdfPFM: A Stereo Correspondence Algorithm using a Disparity Gradient Limit (PDF chapter 1 pages 11-24)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG85http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/7-10.pdfPFM: A Stereo Correspondence Algorithm using a Disparity Gradient Limit (PDF section 2 page 7)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG85http://www.cs.unc.edu/~marc/tutorial/node110.htmlExploiting scene constraints(Marc Pollefeys)TAG85http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/25-32.pdfDisparity Gradient, Lipschitz Continuity and Computing Binocular Correspondences(PDF chapter 2)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG85http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/47-50.pdfThe Role of Disparity Gradient in Stereo Vision (PDF chapter 5)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)

Disparity Limit (Feature Correspondence)TAG86http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/41-45.pdfBinocular Stereo Algorithm Based on the Disparity-Gradient Limit and Using Optimization Theory (PDF chapter 4)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG86http://www.cs.unc.edu/~marc/tutorial/node110.htmlExploiting scene constraints(Marc Pollefeys)

Epipolar Constraint (Feature Correspondence)TAG87http://mitpress.mit.edu/e-journals/Videre/001/articles/Zhang/CalibEnv/CalibEnv.htmlJava demo on Epipolar Lines(Zhengyou Zhang)TAG87/rbf/CVonline/LOCAL_COPIES/YOUNG/vision5.html#heading8The correspondence problem(David Young)TAG87/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node12.htmlEpipolar Line Calculation(Robyn Owens)TAG87/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node26.htmlEpipolar Correspondence Matching(Andrew Zisserman)TAG87http://www.cs.unc.edu/~marc/tutorial/node110.htmlExploiting scene constraints(Marc Pollefeys)TAG87/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004The epipolar constraint(Andrea Fusiello)TAG87http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/55-59.pdfOn The Reconstruction of a Scene from Two Unregistered Images (PDF chapter 7 section 5)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG87http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/265-269.pdfDouble and Triple Ambiguities in the Interpretation of Two Views of a Scene (PDF Chapter 30 - section 2)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG87http://en.wikipedia.org/wiki/Epipolar_geometry#Epipolar_constraint_and_triangulationEpipolar constraint and triangulation(Wikipedia)

Grey-level Similarity (Feature Correspondence)TAG88/rbf/CVonline/LOCAL_COPIES/YOUNG/vision5.html#heading9Matching using feature similarity(David Young)

Ordering (Feature Correspondence)TAG89http://www.cs.unc.edu/~marc/tutorial/node110.htmlExploiting scene constraints(Marc Pollefeys)

Uniqueness (Feature Correspondence)TAG90http://www.cs.unc.edu/~marc/tutorial/node110.htmlExploiting scene constraints(Marc Pollefeys)

Multi-View GeometryTAG91http://www.cs.unc.edu/~marc/tutorial/node46.htmlMulti view geometry(Marc Pollefeys)TAG91http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 6.2)(Computational Vision, H.A. Mallot, J.S. Allen)TAG91/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004Epipolar Geometry(Andrea Fusiello)TAG91/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004Estimating the epipole(Andrea Fusiello)TAG91http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/11-24.pdfPFM: A Stereo Correspondence Algorithm using a Disparity Gradient Limit (PDF Chapter 1 section 3.1,3.2)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG91http://en.wikipedia.org/wiki/Epipolar_geometryEpipolar geometry(Wikipedia)

Transfer and Novel View SynthesisTAG92/rbf/CVonline/LOCAL_COPIES/AVIDAN/novelView.htmlNovel View Synthesis in Tensor Space(Shai Avidan)TAG92/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node16.htmlPlane Projective Transfer Example(Andrew Zisserman)TAG92/rbf/CVonline/LOCAL_COPIES/OWENS/LECT10/node5.htmlWhat information can be extracted from two scenes?(Robyn Owens)TAG92/rbf/CVonline/LOCAL_COPIES/LIVATINO2/CylTransf/Cylindrical Panoramic Transfer and Appearance Prediction for the Match of Real Observations(Salvatore Livatino)

Trifocal/Quadrifocal TensorTAG93http://www1.cs.columbia.edu/~jebara/htmlpapers/SFM/node9.htmlThe trifocal tensor(Tony Jebara, Ali Azarbayejani and Alex Pentland)TAG93/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-330005Trifocal tensor(Andrea Fusiello)TAG93http://en.wikipedia.org/wiki/Trifocal_tensorTrifocal tensor(Wikipedia)

Trinocular (and more) StereoTAG94/rbf/CVonline/LOCAL_COPIES/OWENS/LECT11/node6.htmlINRIA's Trinocular Stereo(Robyn Owens)TAG94http://www.cs.unc.edu/~marc/tutorial/node45.htmlThree view geometry(Marc Pollefeys)TAG94/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-330005Trifocal geometry + constraint(Andrea Fusiello)TAG94/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-330005Multifocal constraints(Andrea Fusiello)

Multi-View MatchingTAG95http://www.cs.unc.edu/~marc/tutorial/node112.htmlMulti-view stereo(Marc Pollefeys)TAG95/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-330005Multifocal constraints(Andrea Fusiello)TAG95http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/95-101.pdfOptimal Combination of Multiple Sensors Including Stereo Vision (PDF chapter 12 section 14)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)

Scene Reconstruction/Surface InterpolationTAG96/rbf/CVonline/LOCAL_COPIES/LAW/law.htmlSurface Reconstruction(N.F. Law and R. Chung)TAG96/rbf/CVonline/LOCAL_COPIES/MANESSIS/liter/node4.htmlGeometry Modelling(Anastasios Manessis)TAG96/rbf/CVonline/LOCAL_COPIES/MANESSIS/liter/node6.htmlReconstruction from dense passive sensors range data(Anastasios Manessis)TAG96/rbf/CVonline/LOCAL_COPIES/MANESSIS/liter/node12.htmlMultiple view reconstruction(Anastasios Manessis)TAG96/rbf/CVonline/LOCAL_COPIES/DUAN1/CV_Shape_Reconstruction.htmlShape Reconstruction(Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras)TAG96http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/55-59.pdfOn The Reconstruction of a Scene from Two Unregistered Images (PDF chapter 7 section 5)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)

Image Based Modelling/Plenoptic ModellingTAG97/rbf/CVonline/LOCAL_COPIES/MANESSIS/liter/node1.htmlImage-Based Modelling(Anastasios Manessis)TAG97http://www.cs.unc.edu/~marc/tutorial/node134.htmlPlenoptic model(Marc Pollefeys)TAG97http://en.wikipedia.org/wiki/Image-based_modeling_and_renderingImage based modelling and rendering(Wikipedia)TAG97http://en.wikipedia.org/wiki/Light_fieldLight field(Wikipedia)TAG97http://en.wikipedia.org/wiki/Plenoptic_cameraPlenoptic camera(Wikipedia)

Texture MappingTAG98http://www.cs.unc.edu/~marc/tutorial/node124.htmlTexture enhancement(Marc Pollefeys)TAG98http://www.texturesynthesis.com/texture.htmTexture synthesis(Rupert Paget)TAG98http://en.wikipedia.org/wiki/Texture_synthesisTexture synthesis(Wikipedia)TAG98http://en.wikipedia.org/wiki/Texture_mappingTexture mapping(Wikipedia)

TriangulationTAG99http://www.cs.unc.edu/~marc/tutorial/node123.htmlSurface model(Marc Pollefeys)TAG99/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004Triangulation(Andrea Fusiello)

Volumetric ReconstructionTAG100http://www.cs.unc.edu/~marc/tutorial/node129.htmlVolumetric model(Marc Pollefeys)TAG100/rbf/CVonline/LOCAL_COPIES/AV0809/schneider.pdfVisual Hull(David Schneider)

Bayesian Methods for Parameter EstimationTAG101/rbf/CVonline/LOCAL_COPIES/AV0809/eshky.pdfBayesian Methods of Parameter Estimation(Aciel Eshky)TAG101http://mathworld.wolfram.com/BayesianAnalysis.htmlBayesian Analysis(Eric Weisstein/Wolfram Research)TAG101http://en.wikipedia.org/wiki/Bayesian_inferenceBayesian inference(Wikipedia)

Linear Least Squares for Parameter EstimationTAG102http://mathworld.wolfram.com/LeastSquaresFitting.htmlLeast Squares Fitting(Eric Weisstein/Wolfram Research)TAG102http://www.cse.iitd.ernet.in/~suban/cs210/tute6/node2.htmlLeast-squares(Subhashis Banerjee)TAG102http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_2.pdfLeast-Squared-Error Fitting (PDF, Section A1.9, page 4)(Computer Vision, Dana Ballard and Christopher Brown)TAG102http://www.nowpublishers.com/product.aspx?product=CGV&doi=0600000001Linear Least Square Estimation (PDF page 20)(Vincent Lepetit and Pascal Fua)TAG102http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/95-101.pdfOptimal Combination of Multiple Sensors Including Stereo Vision (PDF chapter 12 sections 3,4,5,6 and 7)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG102http://en.wikipedia.org/wiki/Least_squaresLeast squares(Wikipedia)TAG102http://en.wikipedia.org/wiki/Linear_least_squares_(mathematics)Linear least squares(Wikipedia)TAG102http://en.wikipedia.org/wiki/Ordinary_least_squaresOrdinary least squares(Wikipedia)

Basic Statistics and Bayes Rule in VisionTAG103/rbf/CVonline/LOCAL_COPIES/TUDELFT/FIP2_3.pdfBasic Statistics (Sec 3.5)(Young, Gerbrands and van Vliet)TAG103/rbf/CVonline/LOCAL_COPIES/OWENS/LECT2/node2.htmlMeasurements and Noise(Robyn Owens)TAG103/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node5.htmlSummary of Bayes rule(Neil Thacker and Tim Cootes)TAG103/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node6.htmlBayes rule and maximum likelihood estimation(Neil Thacker and Tim Cootes)TAG103http://homepages.inf.ed.ac.uk/rbf/BOOKS/FISCHLER/scan/81-128.pdfChapter 4. Reasoning and Problem Solving (PDF Chapter 4 page 98-100)(M. A. Fischler, O. Firschein. Intelligence: The Eye, the Brain and the Computer. Addison-Wesley, 1987)TAG103http://en.wikipedia.org/wiki/Bayes%27_theoremBayes theorem(Wikipedia)TAG103http://en.wikipedia.org/wiki/Maximum_likelihoodMaximum likelihood(Wikipedia)

Intrinsic ImagesTAG104http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb3_12.pdfRecovering intrinsic structure (PDF, pg 63)(Chris Brown and Dana Ballard)TAG104http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb2_1.pdfImage formation (PDF, pg 14)(Chris Brown and Dana Ballard)

CorrelationTAG105http://mathworld.wolfram.com/Correlation.htmlCorrelation(Eric Weisstein/Wolfram Research)TAG105/rbf/CVonline/LOCAL_COPIES/LACEY1/laceytut.pdfData correlation and independence (PDF file. pg 15)(N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)TAG105http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdfAlgorithms for Clustering Data (PDF section 4.1.3)(Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)TAG105http://en.wikipedia.org/wiki/Correlation_and_dependenceCorrelation and dependence(Wikipedia)TAG105http://en.wikipedia.org/wiki/Correlation_clusteringCorrelation clustering(Wikipedia)

Clifford and Geometric Algebra Pose RepresentationsTAG106/rbf/CVonline/LOCAL_COPIES/WAREHAM/wareham1.pdfRigid-Body Pose and Position Interpolation using Geometric Algebra(Richard Wareham, Joan Lasenby)TAG106/rbf/CVonline/LOCAL_COPIES/ROSENHAHN1/PoseEstimation.pdfClifford algebra(Bodo Rosenhahn, Christian Perwass, Gerald Sommer)TAG106http://en.wikipedia.org/wiki/Clifford_algebraClifford algebra(Wikipedia)

Error PropagationTAG107/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node13.htmlError Propagation(Neil Thacker and Tim Cootes)TAG107/rbf/CVonline/LOCAL_COPIES/LACEY1/laceytut.pdfError propagation (PDF file. pg 13)(N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)TAG107/rbf/CVonline/LOCAL_COPIES/COURTNEY1/epsrcss2002-handout.pdfError Propogation and Algorithmic Design Principles (pg 10)(P. Courtney, N. A. Thacker)TAG107http://en.wikipedia.org/wiki/Propagation_of_uncertaintyPropagation of uncertainty(Wikipedia)

Mixture Models and Expectation Maximization (EM)TAG108/rbf/CVonline/LOCAL_COPIES/RAJA/CV.htmlGaussian Mixture Models(Yogesh Raja and Shaogang Gong)TAG108http://www.childrensmercy.org/stats/ask/mixture.aspMixture models(ssimon@cmh.edu)TAG108/rbf/CVonline/LOCAL_COPIES/RAJA/CV.htmlGaussian Mixture Models(Yogesh Raja)TAG108http://staff.aist.go.jp/s.akaho/MixtureEM.htmlDemo: EM algorithm with Gaussian Mixture Models(S. Akaho, Olivier Michel)TAG108http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdfAlgorithms for Clustering Data (PDF section 3.3.4)(Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)TAG108http://en.wikipedia.org/wiki/Mixture_modelMixture model(Wikipedia)TAG108http://en.wikipedia.org/wiki/Expectation-maximization_algorithmExpectation maximization (EM)(Wikipedia)

Hidden Markov ModelsTAG109http://www.icaen.uiowa.edu/~dip/LECTURE/Understanding7.htmlHidden Markov Models(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG109http://en.wikipedia.org/wiki/Hidden_Markov_modelHidden Markov Model (HMM)(Wikipedia)

Information TheoryTAG110/rbf/CVonline/LOCAL_COPIES/KRUPPA1/cvonline.htmlOverview of Mutual Information(Hannes Kruppa and Bernt Schiele)TAG110http://www.inference.phy.cam.ac.uk/mackay/itila/Information Theory, Inference, and Learning Algorithms (PDF Section IV)(Information Theory, Inference, and Learning Algorithms, D. Mackay)TAG110http://en.wikipedia.org/wiki/Information_theoryInformation theory(Wikipedia)

Kalman FiltersTAG111/rbf/CVonline/LOCAL_COPIES/WELCH/kalman.htmlAn Introduction to the Kalman Filter(Greg Welch and Gary Bishop)TAG111/rbf/CVonline/LOCAL_COPIES/RAMANI1/node32.htmlThe Kalman Filter Model (See also next 3 pages)(Ramani Pichumani)TAG111http://www.cs.unc.edu/~welch/kalman/index.htmlKalman Filter Home Page(Greg Welch and Gary Bishop)TAG111http://research.microsoft.com/~zhang/INRIA/Publis/Tutorial-Estim/Main.htmlTutorial on parameter estimation(Zhengyou Zhang)TAG111/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node12.htmlOptimal combination of two parameter estimates(Neil Thacker and Tim Cootes)TAG111http://www.nowpublishers.com/product.aspx?product=CGV&doi=0600000001Kalman Filtering (PDF page 27)(Vincent Lepetit and Pascal Fua)TAG111http://en.wikipedia.org/wiki/Kalman_filterKalman filter(Wikipedia)

Least Mean Square Estimation and EstimatorsTAG112http://research.microsoft.com/en-us/um/people/zhang/INRIA/Publis/Tutorial-Estim/Main.htmlTutorial on parameter estimation(Zhengyou Zhang)TAG112/rbf/CVonline/LOCAL_COPIES/BMVA96Tut/node7.htmlGaussian distributions and least square estimation(Neil Thacker and Tim Cootes)TAG112http://mathworld.wolfram.com/LeastSquaresFitting.htmlLeast Squares Fitting(Eric Weisstein/Wolfram Research)TAG112http://en.wikipedia.org/wiki/Least-Squares_FittingLeast-Squares Fitting(Wikipedia)

Model FittingTAG113/rbf/CVonline/LOCAL_COPIES/DAVIES1/rd_bhatt_cvonline/rd_bhatt_cvonline.htmlModel Fitting using the Bhattacharyya Measure(Rhodri Davies, Neil Thacker and Chris Taylor)

Monte Carlo Methods for VisionTAG114/rbf/CVonline/LOCAL_COPIES/LACEY1/laceytut.pdfMonte-Carlo techniques (PDF file. pg 18)(N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)TAG114/rbf/CVonline/LOCAL_COPIES/AV0809/kalaitzis.pdfMonte Carlo Methods for Computer Vision(Alfredo Kalaitzis)TAG114http://mathworld.wolfram.com/MonteCarloMethod.htmlMonte Carlo Method(Eric Weisstein/Wolfram Research)TAG114/rbf/CVonline/LOCAL_COPIES/SENEGAS/mcmc.htmlAn introduction to Markov chain Monte Carlo(Julien Sngas)TAG114http://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdfAlgorithms for Clustering Data (PDF section 4.1.4)(Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)TAG114 http://www.inference.phy.cam.ac.uk/mackay/itila/Information Theory, Inference, and Learning Algorithms (PDF chapters 29,30 and 32)(Information Theory, Inference, and Learning Algorithms, D. Mackay)TAG114http://en.wikipedia.org/wiki/Monte_Carlo_methodMonte Carlo method(Wikipedia)

Markov Chain Methods for VisionTAG115http://mathworld.wolfram.com/MarkovChain.htmlMarkov Chain(Eric Weisstein/Wolfram Research)TAG115/rbf/CVonline/LOCAL_COPIES/SENEGAS/mcmc.htmlAn introduction to Markov chain Monte Carlo(Julien Sngas)TAG115/rbf/CVonline/LOCAL_COPIES/DELLEART/MCMC_tutorial.htmMarkov Chain Monte Carlo for Computer Vision(Song-Chun Zhu, Frank Delleart, Zhuowen Tu)TAG115http://en.wikipedia.org/wiki/Markov_chainMarkov chain(Wikipedia)TAG115http://en.wikipedia.org/wiki/Markov_chain_Monte_CarloMarkov chain Monte Carlo(Wikipedia)

Random Number Generation for VisionTAG116http://mathworld.wolfram.com/RandomNumber.htmlRandom Number(Eric Weisstein/Wolfram Research)TAG116http://en.wikipedia.org/wiki/Random_number_generationRandom number generation(Wikipedia)

Robust EstimatorsTAG117http://research.microsoft.com/~zhang/INRIA/Publis/Tutorial-Estim/Main.htmlTutorial on parameter estimation(Zhengyou Zhang)TAG117http://mathworld.wolfram.com/RobustEstimation.htmlRobust Estimation(Eric Weisstein/Wolfram Research)TAG117/rbf/CVonline/LOCAL_COPIES/COURTNEY1/epsrcss2002-handout.pdfDealing with outliers (pg 17)(P. Courtney, N. A. Thacker)TAG117http://www.nowpublishers.com/product.aspx?product=CGV&doi=0600000001Robust Estimation (PDF page 22)(Vincent Lepetit and Pascal Fua)TAG117http://www.nowpublishers.com/product.aspx?product=CGV&doi=0600000001M-estimators (PDF page 23)(Vincent Lepetit and Pascal Fua)TAG117/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-520007Robust estimation(Andrea Fusiello)TAG117http://en.wikipedia.org/wiki/Robust_statisticsRobust statistics(Wikipedia)

Projection Geometries and TransformationsTAG118/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node46.htmlBasic Properties of Projective Space(Roger Mohr and Bill Triggs)TAG118/rbf/CVonline/LOCAL_COPIES/BEARDSLEY/node3.htmlProjective Transformations(Paul Beardsley)TAG118/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node3.htmlProjection Matrix RepresentationsAndrew ZissermanTAG118/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node4.htmlProperties of Projection Matrix Representations(Andrew Zisserman)TAG118/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node1.htmlIntroduction to projection geometry(Stan Birchfield)TAG118/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node3.htmlFour models for the projective plane(Stan Birchfield)TAG118http://www.icaen.uiowa.edu/~dip/LECTURE/3DVisionP1_2.html#basicsBasics of projective geometry(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG118http://www.cs.unc.edu/~marc/tutorial/node9.htmlProjective geometry(Marc Pollefeys)TAG118http://www.cs.unc.edu/~marc/tutorial/node12.htmlProjective Transformations(Marc Pollefeys)TAG118http://ai.stanford.edu/~birch/projective/An Introduction to Projective Geometry(Stan Birchfield)TAG118http://homepages.inf.ed.ac.uk/rbf/BOOKS/VERNON/Chap008.pdfThe camera model and the inverse perspective transformation (PDF, Section 8.6, pages 21-24)(Machine Vision; David Vernon)TAG118http://en.wikipedia.org/wiki/Projective_geometryProjective geometry(Wikipedia)TAG118http://en.wikipedia.org/wiki/HomographyHomography(Wikipedia)

AffineTAG119/rbf/CVonline/LOCAL_COPIES/UESHIBA1/node5.htmlAffine cameras(Toshio Ueshiba)TAG119http://www.cs.unc.edu/~marc/tutorial/node27.htmlAffine stratum(Marc Pollefeys)TAG119http://www.cs.unc.edu/~marc/tutorial/node28.htmlFrom projective to affine(Marc Pollefeys)TAG119http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node15.htmlAffine Transformations(Silvio Levy and the University of Minnesota's Geometry Center)TAG119http://en.wikipedia.org/wiki/Affine_transformationAffine transformation(Wikipedia)TAG119http://en.wikipedia.org/wiki/Affine_spaceAffine space(Wikipedia)

Central ProjectionTAG120/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node1.htmlImaging Geometry and Central Projection(Andrew Zisserman)

EuclideanTAG121/rbf/CVonline/LOCAL_COPIES/MARBLE/low/fundamentals/geomet.htmOrthographic and Perspective Projection(Andrew Wallace and Sarah Price)TAG121http://www.cs.unc.edu/~marc/tutorial/node31.htmlEuclidean stratum(Marc Pollefeys)TAG121http://en.wikipedia.org/wiki/Orthographic_projectionOrthographic projection(Wikipedia)TAG121http://en.wikipedia.org/wiki/Perspective_projection#Perspective_projectionPerspective projection(Wikipedia)

HomographyTAG122/rbf/CVonline/LOCAL_COPIES/LINGRAND/Approximations of camera projection and related homographic relations(Diane Lingrand)TAG122/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-130004Planes and collineations(Andrea Fusiello)TAG122http://en.wikipedia.org/wiki/HomographyHomography(Wikipedia)

Hierarchy of GeometriesTAG123/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node40.htmlA Hierarchy of Geometries(Roger Mohr and Bill Triggs)TAG123/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node1.htmlIntroduction to projection geometry(Stan Birchfield)TAG123http://www.cs.unc.edu/~marc/tutorial/node25.htmlThe stratification of 3D geometry(Marc Pollefeys)TAG123http://www.cs.unc.edu/~marc/tutorial/node32.htmlSummary of stratification(Marc Pollefeys)

OrthographicTAG124/rbf/CVonline/LOCAL_COPIES/UESHIBA1/node5.htmlOrthographic and other affine cameras(Toshio Ueshiba)TAG124/rbf/CVonline/LOCAL_COPIES/LINGRAND/Approximations of camera projection and related homographic relations(Diane Lingrand)TAG124http://en.wikipedia.org/wiki/Orthographic_projectionOrthographic projection(Wikipedia)TAG124http://en.wikipedia.org/wiki/Orthographic_projection_(geometry)Orthographic projection (geometry)(Wikipedia)

ParaperspectiveTAG125/rbf/CVonline/LOCAL_COPIES/UESHIBA1/node5.htmlParaperspective and other affine cameras(Toshio Ueshiba)TAG125/rbf/CVonline/LOCAL_COPIES/LINGRAND/Approximations of camera projection and related homographic relations(Diane Lingrand)

PerspectiveTAG126/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node9.htmlPerspective Projection and Real Cameras(Roger Mohr and Bill Triggs)TAG126/rbf/CVonline/LOCAL_COPIES/MARBLE/low/fundamentals/geomet.htmOrthographic and Perspective Projection(Andrew Wallace and Sarah Price)TAG126/rbf/CVonline/LOCAL_COPIES/YOUNG/vision5.htmlPerspective projection(David Young)TAG126http://mitpress.mit.edu/e-journals/Videre/001/articles/Zhang/CalibEnv/CalibEnv.htmlComputing the projective distortion matrix (See computing projective distortion)(Zhengyou Zhang)TAG126/rbf/CVonline/LOCAL_COPIES/OWENS/LECT1/node2.htmlPerspective Projection(Robyn Owens)TAG126/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node1.htmlKey Points about General Perspective Projection(Andrew Zisserman)TAG126/rbf/CVonline/LOCAL_COPIES/BEARDSLEY/node5.htmlIdeal Points and Vanishing Points(Paul Beardsley)TAG126/rbf/CVonline/LOCAL_COPIES/ZOGHLAMI/node2.htmlPerspective projection into two views(Imad Zoghlami)TAG126/rbf/CVonline/LOCAL_COPIES/UESHIBA1/node4.htmlPerspective cameras(Toshio Ueshiba)TAG126/rbf/CVonline/LOCAL_COPIES/FUSIELLO/node3.htmlPerspective camera model(Andrea Fusiello)TAG126/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node19.htmlPerspective projection and image formation(Stan Birchfield)TAG126/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node21.htmlVanishing points(Stan Birchfield)TAG126http://www1.cs.columbia.edu/~jebara/htmlpapers/SFM/node6.htmlPerspective camera models(Tony Jebara, Ali Azarbayejani and Alex Pentland)TAG126http://www.icaen.uiowa.edu/~dip/LECTURE/3DVisionP1_2.html#singlecameraThe single perspective camera(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG126http://www.cs.unc.edu/~marc/tutorial/node26.htmlProjective stratum(Marc Pollefeys)TAG126http://homepages.inf.ed.ac.uk/rbf/BOOKS/VERNON/Chap008.pdfThe camera model and the inverse percpective transformation (PDF, Section 8.6, pages 21-24)(Machine Vision; David Vernon)TAG126http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 2.2.2)(Computational Vision, H.A. Mallot, J.S. Allen)TAG126http://cognet.mit.edu/library/books/view?isbn=0262133814Computational Vision (PDF - (CogNet Access Req.) Part 2.3)(Computational Vision, H.A. Mallot, J.S. Allen)TAG126http://en.wikipedia.org/wiki/Perspective_projection#Perspective_projectionPerspective projection(Wikipedia)

Plane ProjectionTAG127/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node12.htmlSummary of Plane Projective Transformations(Andrew Zisserman)TAG127/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node6.htmlPlane projective transformation(Andrew Zisserman)TAG127/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node7.htmlFour points define a planar projective transformation(Andrew Zisserman)TAG127/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node9.htmlRotation about the Optical Center(Andrew Zisserman)TAG127/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node11.htmlComputing Plane Projective Transformations(Andrew Zisserman)TAG127/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node8.htmlExample on Removing Perspective Distortion(Andrew Zisserman)TAG127/rbf/CVonline/LOCAL_COPIES/EPSRC_SSAZ/node10.htmlExample on Synthetic Rotations(Andrew Zisserman)TAG127http://www.cs.unc.edu/~marc/tutorial/node10.htmlThe Projective Plane(Marc Pollefeys)TAG127http://www.cs.unc.edu/~marc/tutorial/node40.htmlRelation between projection matrices and image homographies(Marc Pollefeys)TAG127http://en.wikipedia.org/wiki/Projective_planeProjective plane(Wikipedia)

Projective Space (3D)TAG128/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node15.htmlProjective Space(Stan Birchfield)TAG128http://www.cs.unc.edu/~marc/tutorial/node11.htmlProjective 3-space(Marc Pollefeys)TAG128http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node16.htmlProjective Transformations(Silvio Levy and the University of Minnesota's Geometry Center)TAG128/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-10001Elements of Geometric Computer Vision(Andrea Fusiello)TAG128http://en.wikipedia.org/wiki/Projective_spaceProjective space(Wikipedia)TAG128http://en.wikipedia.org/wiki/HomographyHomography(Wikipedia)

Real Camera ProjectionTAG129/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node10.htmlReal Camera Projection(Roger Mohr and Bill Triggs)

SimilarityTAG130http://www.cs.unc.edu/~marc/tutorial/node29.htmlMetric stratum(Marc Pollefeys)TAG130http://www.cs.unc.edu/~marc/tutorial/node30.htmlFrom projective or affine to metric(Marc Pollefeys)TAG130http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node14.htmlSimilarities(Silvio Levy and the University of Minnesota's Geometry Center)TAG130http://en.wikipedia.org/wiki/Similar_matrixSimilar matrix(Wikipedia)

Weak-PerspectiveTAG131/rbf/CVonline/LOCAL_COPIES/UESHIBA1/node5.htmlWeak perspective and other affine cameras(Toshio Ueshiba)

Properties and Invariants of ProjectionTAG132http://www.icaen.uiowa.edu/~dip/LECTURE/Shape2.html#invariantsGeneral discussion on projective invariants(Milan Sonka, Vaclav Hlavac, and Roger Boyle)

Absolute PointsTAG133/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node12.htmlAbsolute points(Stan Birchfield)

CollineationsTAG134/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node13.htmlCollineations(Stan Birchfield)TAG134http://en.wikipedia.org/wiki/CollineationCollineation(Wikipedia)

ConicsTAG135/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node11.htmlConics(Stan Birchfield)TAG135/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdfInvariants of Conics (PDF Sec 7.8.3)(Bryan Morse)TAG135http://www.icaen.uiowa.edu/~dip/LECTURE/Shape2.html#invariantsPlane conics(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG135http://www.cs.unc.edu/~marc/tutorial/node13.htmlConics and quadrics(Marc Pollefeys)TAG135http://en.wikipedia.org/wiki/Conic_sectionConic section(Wikipedia)TAG135http://en.wikipedia.org/wiki/QuadricQuadrics(Wikipedia)

Coplanarity InvariantsTAG136/rbf/CVonline/LOCAL_COPIES/FISHER/PLANEINV/planeinv.htmlCoplanarity Invariants(Bob Fisher)

Cross RatioTAG137/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node10.htmlThe cross ratio(Stan Birchfield)TAG137/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdfCross Ratio (PDF Sec 7.8.1)(Bryan Morse)TAG137http://www.icaen.uiowa.edu/~dip/LECTURE/Shape2.html#invariantsCross ratio(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG137http://en.wikipedia.org/wiki/Cross_ratioCross ratio(Wikipedia)

Differential InvariantsTAG138http://www.icaen.uiowa.edu/~dip/LECTURE/Shape2.html#invariantsDifferential invariants(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG138http://en.wikipedia.org/wiki/Differential_invariantDifferential invariant(Wikipedia)

DualityTAG139/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node8.htmlDuality(Stan Birchfield)TAG139http://www.cs.unc.edu/~marc/tutorial/node13.htmlConics and quadrics(Marc Pollefeys)TAG139http://en.wikipedia.org/wiki/Duality_(projective_geometry)Duality (projective geometry)(Wikipedia)

General Projective InvariantsTAG140/rbf/CVonline/LOCAL_COPIES/BEARDSLEY/node4.htmlProjective Invariants(Paul Beardsley)TAG140/rbf/CVonline/LOCAL_COPIES/MOHR_TRIGGS/node25.htmlProjective Invariants and the Cross Ratio(Roger Mohr and Bill Triggs)TAG140/rbf/CVonline/LOCAL_COPIES/OWENS/LECT13/node5.htmlGeometric invariants(Robyn Owens)TAG140/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node25.htmlDemonstration of Cross Ratio(Stan Birchfield)TAG140http://en.wikipedia.org/wiki/Cross-ratioCross ratio(Wikipedia)

Laguerre formulaTAG141/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node14.htmlLaguerre formula(Stan Birchfield)TAG141http://www.cs.unc.edu/~marc/tutorial/node29.htmlMetric stratum(Marc Pollefeys)TAG141http://en.wikipedia.org/wiki/Laguerre_polynomialsLaguerre polynomials(Wikipedia)TAG141http://en.wikipedia.org/wiki/Laguerre%27s_methodLaguerre method(Wikipedia)

Pencil of linesTAG142/rbf/CVonline/LOCAL_COPIES/BIRCHFIELD/node9.htmlPencil of lines(Stan Birchfield)TAG142http://www.icaen.uiowa.edu/~dip/LECTURE/Shape2.html#invariantsFive general coplanar lines(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG142http://en.wikipedia.org/wiki/Pencil_(mathematics)Pencil (mathematics)(Wikipedia)

Affine Arc Length and Affine CurvatureTAG143/rbf/CVonline/LOCAL_COPIES/ABBASI/alc/alc.htmlAffine Arc Length and Affine Curvature(Sadegh Abbasi-Kooshk-Mehdi)TAG143http://en.wikipedia.org/wiki/Affine_curvatureAffine curvature(Wikipedia)

Arc LengthTAG144/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdfBoundary Length (PDF Sec 7.6.1)(Bryan Morse)TAG144http://en.wikipedia.org/wiki/ArclengthArc length(Wikipedia)

Bending EnergyTAG145/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdfBending Energy (PDF Sec 7.6.3)(Bryan Morse)TAG145http://www.icaen.uiowa.edu/~dip/LECTURE/Shape2.html#geometricBending energy(Milan Sonka, Vaclav Hlavac, and Roger Boyle)

Chord DistributionTAG146/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdfChord Distribution (PDF Sec 7.6.5)(Bryan Morse)TAG146http://www.icaen.uiowa.edu/~dip/LECTURE/Shape2.html#geometricChord(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG146http://en.wikipedia.org/wiki/Chord_(geometry)Chord(Wikipedia)

Curvature, Torsion, Curvature RadiusTAG147/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdfCurvature of Phi-S Curves (PDF Sec 7.6.2)(Bryan Morse)TAG147http://www.icaen.uiowa.edu/~dip/LECTURE/Shape2.html#geometricCurvature(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG147/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfContour parametric and contour complex functions (PDF pg 2.10)(Volodymyr Kindratenko)TAG147http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/scan/197-205.pdfDupin's Cyclide and the Cyclide Patch (PDF Chapter 22 pages 199-202)(3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)TAG147http://en.wikipedia.org/wiki/CurvatureCurvature(Wikipedia)TAG147http://en.wikipedia.org/wiki/Torsion_of_a_curveTorsion of a curve(Wikipedia)

Human Pose and Motion EstimationTAG148/rbf/CVonline/LOCAL_COPIES/SMINCHISESCU1/cstutorial_iccv05.pdf3D Human Motion reconstruction in Monocular Video (PDF)(Cristian Sminchisescu)

VignettingTAG149/rbf/CVonline/LOCAL_COPIES/AV0809/laskaris.pdfVignetting(Nikolaos Laskaris)TAG149http://grail.cs.washington.edu/projects/vignette/Vignette and Exposure Calibration and Compensation(Dan B Goldman, Jiun-Hung Chen)TAG149http://en.wikipedia.org/wiki/VignettingVignetting(Wikipedia)

Dynamic Feature GraphsTAG150/rbf/CVonline/LOCAL_COPIES/TANG1/CVOnlineDynamicFeatureGraph.htmDynamic Feature Graph(Feng Tang)

Binary RegionsTAG151/rbf/CVonline/LOCAL_COPIES/MARSHALL/node36.htmlEuler number and various binary image region properties properties(Dave Marshall)TAG151/rbf/CVonline/LOCAL_COPIES/MARSHALL/node37.htmlDiscussion on invariant measures(Dave Marshall)TAG151/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/binary/properties.htmlOverview and Java demonstration on Property Distributions(Andrew Fitzgibbon)TAG151/rbf/CVonline/LOCAL_COPIES/OWENS/LECT2/node3.htmlBinary Images(Robyn Owens)

Angularity ratio (Regions)TAG152/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.35)(Volodymyr Kindratenko)

Area, Perimeter (Regions)TAG153http://www.efg2.com/Lab/Graphics/PolygonArea.htmArea and Centroid of a Non-Convex Polygon(Earl Glynn)TAG153/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdfSome Simple Shape Descriptors (PDF Sec 9.2)(Bryan Morse)TAG153http://www.icaen.uiowa.edu/~dip/LECTURE/Shape3.html#scalarSimple scalar region descriptors(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG153/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.32)(Volodymyr Kindratenko)TAG153http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb8_34.pdfArea (PDF, Section 8.4.1, page 8)(Computer Vision, Dana Ballard and Christopher Brown)TAG153http://en.wikipedia.org/wiki/AreaArea(Wikipedia)TAG153http://en.wikipedia.org/wiki/PerimeterPerimeter(Wikipedia)

Boundary Properties (Regions)TAG154/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdfBays in Convex Hull (PDF Sec 9.5)(Bryan Morse)

Center-of-Mass (Regions)TAG155/rbf/CVonline/LOCAL_COPIES/OWENS/LECT2/node3.htmlCenter of Mass(Robyn Owens)TAG155http://www.efg2.com/Lab/Graphics/PolygonArea.htmArea and Centroid of a Non-Convex Polygon(Earl Glynn)TAG155http://en.wikipedia.org/wiki/CentroidCentroid(Wikipedia)

Convexity ratio (Regions)TAG156/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.36)(Volodymyr Kindratenko)

Eccentricity, Circularity, Compactness, Elongatedness (Regions)TAG157/rbf/CVonline/LOCAL_COPIES/MARSHALL/node36.htmlEccentricity, compactness and other properties(Dave Marshall)TAG157/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdfSome Simple Shape Descriptors (PDF Sec 9.2)(Bryan Morse)TAG157http://www.icaen.uiowa.edu/~dip/LECTURE/Shape3.html#scalarEccentricity, Elongatedness and Compactness(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG157http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb8_34.pdfEccentricity (PDF, Section 8.4.2, page 9)(Computer Vision, Dana Ballard and Christopher Brown)TAG157http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb8_34.pdfCompactness (PDF, Section 8.4.4, page 10)(Computer Vision, Dana Ballard and Christopher Brown)TAG157http://en.wikipedia.org/wiki/Eccentricity_(mathematics)Eccentricity (mathematics)(Wikipedia)TAG157http://en.wikipedia.org/wiki/Circularity_ratioCircularity ratio(Wikipedia)TAG157http://en.wikipedia.org/wiki/ElongatednessElongatedness(Wikipedia)

Elongation factor (Regions)TAG158/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.36)(Volodymyr Kindratenko)

Euler number/Genus (Regions)TAG159http://www.icaen.uiowa.edu/~dip/LECTURE/Shape3.html#scalarEuler's number(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG159http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandb8_34.pdfEuler Number (PDF, Section 8.4.3, page 9)(Computer Vision, Dana Ballard and Christopher Brown)TAG159http://en.wikipedia.org/wiki/Euler_characteristicEuler characteristic(Wikipedia)

Extremal Points (Regions)TAG160/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdfExtremal Points (PDF Sec 9.6)(Bryan Morse)TAG160http://en.wikipedia.org/wiki/Extremal_pointExtremal point(Wikipedia)

Feret's diameter, Martin's diameter (Regions)TAG161/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.32)(Volodymyr Kindratenko)

Fourier Descriptors (Regions)TAG162/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdfFourier Descriptors (PDF Sec 7.7)(Bryan Morse)

Minimum Bounding Rectangle (Regions)TAG163/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdfSome Simple Shape Descriptors (PDF Sec 9.2)(Bryan Morse)TAG163http://homepages.inf.ed.ac.uk/rbf/BOOKS/VERNON/Chap007.pdfExternal scalar transform descriptors: features of the boundary (PDF, Section 7.2, pages 1-2)(Machine Vision; David Vernon)TAG163http://en.wikipedia.org/wiki/Minimum_bounding_rectangleMinimum bounding rectangle(Wikipedia)

Binary MomentsTAG164/rbf/CVonline/LOCAL_COPIES/MARSHALL/node36.htmlMoments and Moment Invariants(Dave Marshall)TAG164/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/binary/calc-props.htmlMoments(Andrew Fitzgibbon)TAG164/rbf/CVonline/LOCAL_COPIES/OWENS/LECT2/node3.htmlBinary Moments(Robyn Owens)TAG164/rbf/CVonline/LOCAL_COPIES/FISHER/MOMINV/Binary Image Moment Invariants(Bob Fisher)TAG164/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdfStatistical Moments, Central Moments (PDF Sec 9.8)(Bryan Morse)TAG164http://www.icaen.uiowa.edu/~dip/LECTURE/Shape3.html#momentsMoments, Moment Invariants, Moment Characteristics(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG164/rbf/CVonline/LOCAL_COPIES/SHUTLER3/node3.htmlNon-orthogonal moments(Jamie Shutler)TAG164/rbf/CVonline/LOCAL_COPIES/SHUTLER3/node8.htmlHu invariant set(Jamie Shutler)TAG164http://en.wikipedia.org/wiki/Moment_(mathematics)Moment (mathematics)(Wikipedia)TAG164http://en.wikipedia.org/wiki/Image_momentImage moment(Wikipedia)

Grey-Level or Texture MomentsTAG165/rbf/CVonline/LOCAL_COPIES/MORSE/texture.pdfMoments of Intensity (PDF Sec 22.4.1)(Bryan Morse)

Velocity MomentsTAG166/rbf/CVonline/LOCAL_COPIES/SHUTLER/CVonline.htmlZernike and Velocity Moments(Jamie Shutler)

Zernike MomentsTAG167/rbf/CVonline/LOCAL_COPIES/SHUTLER/CVonline.htmlZernike and Velocity Moments(Jamie Shutler)TAG167/rbf/CVonline/LOCAL_COPIES/SHUTLER3/node11.htmlComplex Zernike moments(Jamie Shutler)TAG167http://en.wikipedia.org/wiki/Pseudo-Zernike_polynomialsPseudo-Zernike polynomials(Wikipedia)

Orientation (Regions)TAG168/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdfSome Simple Shape Descriptors (PDF Sec 9.2)(Bryan Morse)TAG168http://www.icaen.uiowa.edu/~dip/LECTURE/Shape3.html#scalarDirection(Milan Sonka, Vaclav Hlavac, and Roger Boyle)TAG168/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.34)(Volodymyr Kindratenko)TAG168http://en.wikipedia.org/wiki/Orientation_(computer_vision)Orientation (computer_vision)(Wikipedia)TAG168http://en.wikipedia.org/wiki/Orientation_(geometry)Orientation (geometry)(Wikipedia)TAG168http://en.wikipedia.org/wiki/Orientation_(mathematics)Orientation (mathematics)(Wikipedia)

Sphericity ratio (Regions)TAG169/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.35)(Volodymyr Kindratenko)

Rectangularity (Regions)TAG170http://www.icaen.uiowa.edu/~dip/LECTURE/Shape3.html#scalarRectangularity(Milan Sonka, Vaclav Hlavac, and Roger Boyle)

Roundness ratio (Regions)TAG171/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.35)(Volodymyr Kindratenko)

Topological Descriptors (Regions)TAG172/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdfTopological Descriptors, Euler Number (PDF Sec 9.4)(Bryan Morse)TAG172http://en.wikipedia.org/wiki/Euler_characteristicEuler characteristic(Wikipedia)

Wadell's circularity shape ratio (Regions)TAG173/rbf/CVonline/LOCAL_COPIES/KINDRATENKO1/part2.pdfSimple geometrical shape parameters (PDF pg 2.35)(Volodymyr Kindratenko)

Surface AreaTAG174/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/surfaces/gauss.htmMean and Gaussian Curvature(Andrew Wallace and Sarah Price)TAG174http://www.math.duke.edu/education/ccp/materials/mvcalc/parasurfs/para3.htmlThe Fundamental Vector Product and Surface Area(Duke University)TAG174http://en.wikipedia.org/wiki/Surface_areaSurface area(Wikipedia)

Fundamental Surface FormsTAG175/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/surfaces/geom.htmSurface Description and Differential Geometry(Andrew Wallace and Sarah Price)

Gauge CoordinatesTAG176/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfGauge Coordinates (PDF Sec 11.2.2, 11.3.3)(Bryan Morse)TAG176http://en.wikipedia.org/wiki/Gauge_theoryGauge theory(Wikipedia)

Surface HessianTAG177/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfSurface Hessian (PDF Sec 11.3)(Bryan Morse)TAG177http://en.wikipedia.org/wiki/Hessian_matrixHessian matrix(Wikipedia)

Metric DeterminantTAG178/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/surfaces/gauss.htmMean and Gaussian Curvature(Andrew Wallace and Sarah Price)TAG178http://en.wikipedia.org/wiki/Gaussian_curvatureGaussian curvature(Wikipedia)TAG178http://en.wikipedia.org/wiki/Mean_curvatureMean curvature(Wikipedia)

Principal Curvatures and Directions and other local Shape RepresentationsTAG179/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/surfaces/geom.htmSurface Description and Differential Geometry(Andrew Wallace and Sarah Price)TAG179http://www.ee.surrey.ac.uk/CVSSP/demos/css3d/index.htmlMulti-Scale Surface Curvature Estimation(Nasser Khalili, Peter Yuen, Farzin Mokhtarian)TAG179/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfPrincipal Curvatures and Directions (PDF Sec 11.1)(Bryan Morse)(Wikipedia)TAG179http://en.wikipedia.org/wiki/Principal_curvaturesPrincipal curvatures(Wikipedia)

Deviation from FlatnessTAG180/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfDeviation from Flatness (PDF Sec 11.4.4)(Bryan Morse)

Gaussian CurvatureTAG181/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/surfaces/gauss.htmMean and Gaussian Curvature(Andrew Wallace and Sarah Price)TAG181/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfGaussian Curvature (PDF Sec 11.4.1)(Bryan Morse)TAG181http://en.wikipedia.org/wiki/Gaussian_curvatureGaussian curvature(Wikipedia)

Koenderink's Shape ClassificationTAG182/rbf/CVonline/LOCAL_COPIES/WORTHINGTON/node6.htmlKoenderink's Shape Index(Philip Worthington, Benoit Huet and Edwin Hancock)TAG182/rbf/CVonline/LOCAL_COPIES/CANTZLER1/cvonline.htmlComparison of HK and SC curvature description methods(Helmut Cantzler, Robert Fisher)TAG182/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfKoenderink's Shape Classification (PDF Sec 11.4.9)(Bryan Morse)

Mean CurvatureTAG183/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/surfaces/gauss.htmMean and Gaussian Curvature(Andrew Wallace and Sarah Price)TAG183/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfMean Curvature (PDF Sec 11.4.2)(Bryan Morse)TAG183http://en.wikipedia.org/wiki/Mean_curvatureMean curvature(Wikipedia)

Mean and Gaussian Curvature Shape ClassificationTAG184/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/surfaces/gauss.htmMean and Gaussian Curvature(Andrew Wallace and Sarah Price)TAG184/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfMean and Gaussian Curvature Shape Classification (PDF Sec 11.4.5)(Bryan Morse)TAG184/rbf/CVonline/LOCAL_COPIES/CANTZLER1/cvonline.htmlComparison of HK and SC curvature description methods(Helmut Cantzler, Robert Fisher)TAG184http://en.wikipedia.org/wiki/Gaussian_curvatureGaussian curvature(Wikipedia)TAG184http://en.wikipedia.org/wiki/Mean_curvatureMean curvature(Wikipedia)

Minimal PointsTAG185/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfMinimal Points (PDF Sec 11.4.8)(Bryan Morse)TAG185http://en.wikipedia.org/wiki/Principal_curvaturePrincipal curvature(Wikipedia)TAG185http://en.wikipedia.org/wiki/Minimal_surfaceMinimal surface(Wikipedia)

Parabolic PointsTAG186/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfParabolic Points (PDF Sec 11.4.6)(Bryan Morse)TAG186http://en.wikipedia.org/wiki/Principal_curvaturePrincipal curvature(Wikipedia)

Ridges and ValleysTAG187/rbf/CVonline/LOCAL_COPIES/LOPEZ/cvonline.htmlRidge/Valley-like Structures(Antonio Lopez)TAG187/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfRidges (PDF Sec 11.6.2)(Bryan Morse)

UmbilicsTAG188/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfUmbilics (PDF Sec 11.4.7)(Bryan Morse)TAG188http://en.wikipedia.org/wiki/Umbilical_pointUmbilical point(Wikipedia)

Quadratic VariationTAG189/rbf/CVonline/LOCAL_COPIES/MARBLE/medium/surfaces/gauss.htmMean and Gaussian Curvature(Andrew Wallace and Sarah Price)TAG189http://en.wikipedia.org/wiki/Quadratic_variationQuadratic variation(Wikipedia)

Cone RepresentationsTAG190http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node58.htmlCones(Silvio Levy and the University of Minnesota's Geometry Center)TAG190http://en.wikipedia.org/wiki/Cone_(geometry)Cone (geometry)(Wikipedia)

Cylinder RepresentationsTAG191http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node57.htmlCylinders(Silvio Levy and the University of Minnesota's Geometry Center)TAG191http://en.wikipedia.org/wiki/Cylinder_(geometry)Cylinder (geometry)(Wikipedia)

Ellipsoid/Sphere RepresentationsTAG192http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node59.htmlSpheres(Silvio Levy and the University of Minnesota's Geometry Center)TAG192http://en.wikipedia.org/wiki/EllipsoidEllipsoid(Wikipedia)TAG192http://en.wikipedia.org/wiki/SphereSphere(Wikipedia)

Plane RepresentationsTAG193http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node53.htmlPlanes(Silvio Levy and the University of Minnesota's Geometry Center)TAG193http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/LIB/bandbA1_1.pdfPlanes (PDF, Section A1.6, page 12)(Computer Vision, Dana Ballard and Christopher Brown)TAG193http://en.wikipedia.org/wiki/Plane_(geometry)Plane (geometry)(Wikipedia)

Polyhedra RepresentationsTAG194http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node55.htmlPolyhedra(Silvio Levy and the University of Minnesota's Geometry Center)TAG194http://en.wikipedia.org/wiki/PolyhedronPolyhedron(Wikipedia)

Quadric RepresentationsTAG195http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node61.htmlQuadrics(Silvio Levy and the University of Minnesota's Geometry Center)TAG195http://en.wikipedia.org/wiki/QuadricQuadric(Wikipedia)

Torus RepresentationsTAG196http://www.geom.uiuc.edu/docs/reference/CRC-formulas/node60.htmlSurfaces of Revolution. The Torus(Silvio Levy and the University of Minnesota's Geometry Center)TAG196http://en.wikipedia.org/wiki/TorusTorus(Wikipedia)

Surface Normals and Tangent PlanesTAG197/rbf/CVonline/LOCAL_COPIES/MORSE/diffgeom.pdfSur