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Communication dans un congrès
A MRF Shape Prior for Facade Parsing with Occlusions
Abstract : We present a new shape prior formalism for the segmentation of rectified facade images. It combines the simplicity of split grammars with unprecedented expressive power: the capability of encoding simultaneous alignment in two dimensions, facade occlusions and irregular boundaries between facade elements. We formulate the task of finding the most likely image segmentation conforming to a prior of the proposed form as a MAP-MRF problem over a 4-connected pixel grid, and propose an efficient optimization algorithm for solving it. Our method simultaneously segments the visible and occluding objects, and recovers the structure of the occluded facade. We demonstrate state-of-the-art results on a number of facade segmentation datasets.
Littérature citée [16 références]
https://hal-enpc.archives-ouvertes.fr/hal-01232598
Contributeur : Renaud Marlet <>
Soumis le : lundi 23 novembre 2015 - 17:25:10
Dernière modification le : mardi 8 décembre 2020 - 09:45:31
Archivage à long terme le : : vendredi 28 avril 2017 - 16:56:26
Contributeur : Renaud Marlet <>
Soumis le : lundi 23 novembre 2015 - 17:25:10
Dernière modification le : mardi 8 décembre 2020 - 09:45:31
Archivage à long terme le : : vendredi 28 avril 2017 - 16:56:26