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Communication dans un congrès
Efficient and Scalable 4-th order Match Propagation
Abstract : We propose a robust method to match image feature points taking into account geometric consistency. It is a careful adaptation of the match propagation principle to 4th-order geometric constraints (match quadruple consistency). With our method, a set of matches is explained by a network of locally-similar affinities. This approach is useful when simple descriptor-based matching strategies fail, in particular for highly ambiguous data, e.g., with repetitive patterns or where texture is lacking. As it scales easily to hundreds of thousands of matches, it is also useful when denser point distributions are sought, e.g., for high-precision rigid model estimation. Experiments show that our method is competitive (efficient, scalable, accurate, robust) against state-of-the-art methods in deformable object matching, camera calibration and pattern detection.
Littérature citée [4 références]
https://hal-enpc.archives-ouvertes.fr/hal-00743044
Contributeur : David Ok <>
Soumis le : jeudi 18 octobre 2012 - 01:48:36
Dernière modification le : mardi 22 septembre 2020 - 03:51:21
Contributeur : David Ok <>
Soumis le : jeudi 18 octobre 2012 - 01:48:36
Dernière modification le : mardi 22 septembre 2020 - 03:51:21