SoC2007 project Feature Descriptor

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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.

This project should be split into two projects, which could be done by separate students:

  • 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.
  • C or C++ library for the matching step.
  • Integration of both libraries into hugin and a standalone executable similar to Autopano-sift or Autopano


Required/available ressources

Required knowledge or interest in:

  • signal or image processing background
  • C or C++ development skills.
  • Matlab or octave



Literature about feature detection

Software and libraries

Mentor: Pablo d'Angelo, Herbert Bay, ?

License: GPL