Difference between revisions of "SoC2007 project Feature Descriptor"
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Revision as of 20:48, 19 March 2007
Robust local feature detector and descriptor
Goal: Robust matching of features between multiple images using a Hessian-based detector and a suitable descriptor. A detector and descriptor that takes into account the approximately known distortions will have a much higher matching rate, especially when fisheye or wide angle images are used.
- Implementation of the feature detector and descriptor, and a suitable test suite to verify the correctness of the implementation.
A desired result of the projects would be:
- C or C++ library that implements the detection and description steps.
- An executable for extracting features from image file.
- Test suite to evaluate descriptor on a large amount of images.
- Integration of the library into hugin
Required knowledge or interest in:
- signal or image processing background
- C or C++ development skills.
- Matlab or octave
Literature about feature detection
- Wikipedia article on SIFT, contains several good references
- Tutorial on local invariant features
- Lecture notes on feature detection/matching
- Framework for testing descriptors
Mentor: Pablo d'Angelo, Herbert Bay, ?