K-VLD : virtual line descriptor and semi-local graph matching method

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
Higher Edu - Research dev card
  • Creation or important update: 22/09/13
  • Minor correction: 22/09/13
  • Index card author: Pascal Monasse (LIGM)
  • Theme leader: Teresa Gomez-Diaz (LIGM)
General software features

From matching interest points between two images, the algorithm finds a set of reliable correspondences using coherency. Virtual straight lines joining interest points in the same image are encoded by a descriptor invariant w.r.t. certain geometric and photometric deformations. This descriptor should be found in virtual lines between corresponding points in another image for ensuring the coherency of both correspondences.

The algorithm is used as a discrimination step between true/false correspondences in the process of rigid or deformable registration and of stereo reconstruction.

Context in which the software is used

Illustration of a research article.

Publications related to software

Zhe Liu, Renaud MarletVirtual Line Descriptor and Semi-Local Matching Method for Reliable Feature Correspondence.
In 23rd British Machine Vision Conference (BMVC 2012), Surrey, England, September 2012.