Virtual Line Descriptor and Semi-Local Matching Method for Reliable Feature Correspondence

Zhe Liu 1, 2 Renaud Marlet 2, 1
2 IMAGINE [Marne-la-Vallée]
LIGM - Laboratoire d'Informatique Gaspard-Monge, CSTB - Centre Scientifique et Technique du Bâtiment, ENPC - École des Ponts ParisTech
Abstract : Finding reliable correspondences between sets of feature points in two images remains challenging in case of ambiguities or strong transformations. In this paper, we define a photometric descriptor for virtual lines that join neighbouring feature points. We show that it can be used in the second-order term of existing graph matchers to significantly improve their accuracy. We also define a semi-local matching method based on this descriptor. We show that it is robust to strong transformations and more accurate than existing graph matchers for scenes with significant occlusions, including for very low inlier rates. Used as a preprocessor to filter outliers from match candidates, it significantly improves the robustness of RANSAC and reduces camera calibration errors.
Type de document :
Communication dans un congrès
British Machine Vision Conference 2012, Sep 2012, United Kingdom. pp.16.1--16.11, 2012
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Contributeur : Zhe Liu <>
Soumis le : jeudi 18 octobre 2012 - 16:41:49
Dernière modification le : jeudi 5 juillet 2018 - 14:29:12
Document(s) archivé(s) le : samedi 19 janvier 2013 - 03:40:25

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  • HAL Id : hal-00743323, version 1

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Zhe Liu, Renaud Marlet. Virtual Line Descriptor and Semi-Local Matching Method for Reliable Feature Correspondence. British Machine Vision Conference 2012, Sep 2012, United Kingdom. pp.16.1--16.11, 2012. 〈hal-00743323〉

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