computer vision problem set 3 sunil bandla...
TRANSCRIPT
![Page 1: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/1.jpg)
Computer Vision – Problem Set 3 Sunil Bandla – SB36982
Part 1: 1. UT Tower mosaic
![Page 2: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/2.jpg)
2. Input images
![Page 3: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/3.jpg)
Output mosaic
![Page 4: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/4.jpg)
3. Input
![Page 5: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/5.jpg)
Output mosaic
![Page 6: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/6.jpg)
Part II: 2. Correspondence set with outlier highlighted in red
![Page 7: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/7.jpg)
Homography was computed based on the above set of correspondences. The points in the second image were then transformed to points in the first image to check the accuracy of homography computed and below are the results. The final mosaic was also computed using the same homography.
![Page 8: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/8.jpg)
![Page 9: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/9.jpg)
This time, homography was computed using RANSAC algorithm. Below are the transformed points in the first image and the mosaic.
![Page 10: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/10.jpg)
![Page 11: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/11.jpg)
3. Input images
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Rectified output
![Page 13: Computer Vision Problem Set 3 Sunil Bandla SB36982vision.cs.utexas.edu/cv-spring2011/mosaics/sunil_bandla.pdfComputer Vision – Problem Set 3 Sunil Bandla – SB36982 Part 1: 1. UT](https://reader031.vdocuments.net/reader031/viewer/2022022515/5aff56c87f8b9a68498f9a90/html5/thumbnails/13.jpg)
Input images
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Rectified output
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Sources:
Hospital corridor -
http://www.finishlinefloors.com/rejuvenate_Floor_Finish.php
Ghost - http://www.takoma.com/kids/2010/11/haunted-house-comes-
alive-on-a.html
Blackboard -
http://www.spalding.org/index.php?tname=professional%20developmen
t&p=SCTinstructions
Mirror - http://www.corbisimages.com/Enlargement/42-23010529.html
Rangoli - http://clintoncolbyvincent.blogspot.com/2011/03/theme-
based-rangoli-designs-for.html