computer vision unr george bebis computer vision laboratory (cvl) department of computer science and...
DESCRIPTION
3 Main Research Areas Segmentation 3D object recognition 3D reconstruction Human action/activity recognition Applications Biometrics Segmentation TrackingTRANSCRIPT
Computer Vision Research @
UNRGeorge Bebis
Computer Vision Laboratory (CVL)Department of Computer Science and Engineering
University of Nevada, Reno, USA
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Computer Vision Laboratory (CVL)
• Founded in 1998 to conduct basic and applied research in computer vision.
• Members- 2 faculty- 6 PhD students- 4 MS students- Several undergraduates- 2 visiting faculty
Funding: $6M
Funding
Collaborators
LLNL
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Main Research Areas
Segmentation
3D object recognition
3D reconstruction
Human action/activity recognition
Applications
Biometrics Segmentation Tracking
Computer Vision – Sample Projects
Face RecognitionBetter handle changes due to lighting, facial expressions, and eye-glasses, by fusing visible with thermal infrared imagery.
Gender ClassificationUse Genetic Algorithms to select gender-specific features.
Face detection in the near-IRUse near-IR for face detection.
Computer Vision – Sample Projects
Hand-based AuthenticationPerson authentication using hand geometry based on high order Zernike Moments.
Extended for gender classification
Traditional System
Peg-less System
Patent awarded in Feb 2014
Computer Vision – Sample ProjectsFingerprint Recognition
Small overlapping areaMinutiae
Missing/spurious minutiaePoint matching
Computer Vision – Sample ProjectsFingerprint Mosaicking
Better deal with small overlapping area and missing/spurious minutiae.
mSet1
mSet2
mSeti
mSetn
Super template
Computer Vision – Sample Projects
Rover LocalizationEstimation of rover 3D position and orientation using visual information and Digital Elevation Maps (DEMs).
Crater DetectionDetect craters using visual information.
Smart Monitoring of Complex Public ScenesAutomatic understanding of video content for detecting activities of interest (e.g., potential threats).
Context-Based Intent UnderstandingAutomatic behavior modeling for effective detection of intentions.
Where Am I?
Computer Vision – Sample Projects
Intelligent VehiclesVehicle detection for driver assistance.
Image Forgery DetectionDetermine the authenticity of an image.
Object Detection and Tracking Detect and track humans and other
objects of interest.
Blood Vessel SegmentationSegment blood vessels in retinal images.
Detect Natural Shapes in Cluttered Backgrounds
Input:orientedsegments
Iterative Multi-Scale Tensor Voting (IMS-TV)
For more info …
• Visit
http://www.cse.unr.edu/CVL
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