A MRF Shape Prior for Facade Parsing with Occlusions

Mateusz Koziński; Raghudeep Gadde; Sergey Zagoruyko; Guillaume Obozinski; Renaud Marlet

A MRF Shape Prior for Facade Parsing with Occlusions

Mateusz Koziński ^{1, 2, 3} Raghudeep Gadde ^{3, 4, 1, 2} Sergey Zagoruyko ^{1, 2, 3} Guillaume Obozinski ^{1, 3, 2} Renaud Marlet ^{2, 1, 3}

1 LIGM - Laboratoire d'Informatique Gaspard-Monge

2 ENPC - École des Ponts ParisTech

3 IMAGINE [Marne-la-Vallée]

LIGM - Laboratoire d'Informatique Gaspard-Monge, CSTB - Centre Scientifique et Technique du Bâtiment, ENPC - École des Ponts ParisTech

4 CVN - Centre de vision numérique

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.

Keywords : Shape Image segmentation Grammar Encoding Production Semantics Layout

Type de document :

Communication dans un congrès

Domaine :

Informatique [cs] / Vision par ordinateur et reconnaissance de formes [cs.CV]

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https://hal-enpc.archives-ouvertes.fr/hal-01232598
Contributeur : Renaud Marlet <>
Soumis le : lundi 23 novembre 2015 - 17:25:10
Dernière modification le : mardi 26 février 2019 - 10:14:09
Document(s) archivé(s) le : vendredi 28 avril 2017 - 16:56:26

A MRF Shape Prior for Facade Parsing with Occlusions

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A MRF Shape Prior for Facade Parsing with Occlusions

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