Difference between revisions of "Historical:SoC2007 project Feature Descriptor"
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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. | 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. | ||
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* Implementation of the feature detector and descriptor, and a suitable test suite to verify the correctness of the implementation. | * Implementation of the feature detector and descriptor, and a suitable test suite to verify the correctness of the implementation. | ||
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A desired result of the projects would be: | A desired result of the projects would be: | ||
* C or C++ library that implements the detection and description steps. | * C or C++ library that implements the detection and description steps. | ||
| − | * | + | * An executable for extracting features from image file. |
| − | * Integration of | + | * Test suite to evaluate descriptor on a large amount of images. |
| + | * Integration of the library into [[hugin]] | ||
== Timeline == | == Timeline == | ||
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* [http://homes.esat.kuleuven.be/%7Etuytelaa/ECCV06tutorial.html Tutorial on local invariant features] | * [http://homes.esat.kuleuven.be/%7Etuytelaa/ECCV06tutorial.html Tutorial on local invariant features] | ||
* [http://www.mis.informatik.tu-darmstadt.de/Education/Courses/cv/index.html Lecture notes] on feature detection/matching] | * [http://www.mis.informatik.tu-darmstadt.de/Education/Courses/cv/index.html Lecture notes] on feature detection/matching] | ||
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| + | === Software === | ||
* Framework for [http://www.robots.ox.ac.uk/~vgg/research/affine/ testing descriptors] | * Framework for [http://www.robots.ox.ac.uk/~vgg/research/affine/ testing descriptors] | ||
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Mentor: Pablo d'Angelo, Herbert Bay, ? | Mentor: Pablo d'Angelo, Herbert Bay, ? | ||
License: GPL | License: GPL | ||
Revision as of 10:46, 16 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.
Deliverables
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
Timeline
Required/available ressources
Required knowledge or interest in:
- signal or image processing background
- C or C++ development skills.
- Matlab or octave
Ressources
Literature
Literature about feature detection
- Wikipedia article on SIFT, contains several good references
- Tutorial on local invariant features
- Lecture notes on feature detection/matching]
Software
- Framework for testing descriptors
Mentor: Pablo d'Angelo, Herbert Bay, ?
License: GPL