Feature Matching

This project aims to extract interesting features, and match them between two images, or among multiple images.

KLT Webpage: http://www.ces.clemson.edu/~stb/klt/

SIFT Webpage:

[1]http://www.cs.ubc.ca/~lowe/keypoints/

[2]http://web.engr.oregonstate.edu/~hess/index.html

[3]http://vision.ucla.edu/~vedaldi/code/sift/sift.html

References

[1] Bruce D. Lucas and Takeo Kanade. An Iterative Image Registration Technique with an Application to Stereo Vision. International Joint Conference on Artificial Intelligence, pages 674-679, 1981.

[2] Carlo Tomasi and Takeo Kanade. Detection and Tracking of Point Features. Carnegie Mellon University Technical Report CMU-CS-91-132, April 1991.

[3] Jianbo Shi and Carlo Tomasi. Good Features to Track. IEEE Conference on Computer Vision and Pattern Recognition, pages 593-600, 1994.

[4] Stan Birchfield. Derivation of Kanade-Lucas-Tomasi Tracking Equation. Unpublished, January 1997.

 

[5] David G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, 60, 2 (2004), pp. 91-110.

 

[6] Simon Winder and Matthew Brown, Learning Local Image Descriptors, CVPR 2008.

Assignment:

[1] Implement KLT method.

[2] Implement SIFT method.

[3]* Accelerate the KLT & SIFT algorithms using GPU.

[4]* Implement Learning Local Image Descriptors.