A MRF Shape Prior for Facade Parsing with Occlusions - École des Ponts ParisTech Access content directly
Conference Papers Year : 2015

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.
Fichier principal
Vignette du fichier
Kozinski_A_MRF_Shape_2015_CVPR_paper.pdf (7.45 Mo) Télécharger le fichier
CVPR-2015-Kozinski-et-al_supp.pdf (182.25 Ko) Télécharger le fichier
Origin Explicit agreement for this submission
Format Short paper
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01232598 , version 1 (23-11-2015)

Identifiers

Cite

Mateusz Koziński, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet. A MRF Shape Prior for Facade Parsing with Occlusions. Conference on Computer Vision and Pattern Recognition (CVPR 2015), Jun 2015, Boston, Massachusetts, United States. pp.2820-2828, ⟨10.1109/CVPR.2015.7298899⟩. ⟨hal-01232598⟩
359 View
224 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More