Difference between revisions of "SoC2007 project Feature Descriptor"

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(changed license to LGPL)
m (Literature)
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* [http://en.wikipedia.org/wiki/Scale-invariant_feature_transform Wikipedia article on SIFT], contains several good references
 
* [http://en.wikipedia.org/wiki/Scale-invariant_feature_transform Wikipedia article on SIFT], contains several good references
 
* [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]
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* [http://www.mis.informatik.tu-darmstadt.de/Education/Courses/cv/index.html Lecture notes] on feature detection/matching
  
 
=== Software ===
 
=== Software ===

Revision as of 10:07, 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

Software

Mentor: Pablo d'Angelo, Herbert Bay, ?

License: LGPL