DocumentCode :
2918075
Title :
Submodularity beyond submodular energies: Coupling edges in graph cuts
Author :
Jegelka, Stefanie ; Bilmes, Jeff
Author_Institution :
Max Planck Inst. Tubingen, Germany
fYear :
2011
fDate :
20-25 June 2011
Firstpage :
1897
Lastpage :
1904
Abstract :
We propose a new family of non-submodular global energy functions that still use submodularity internally to couple edges in a graph cut. We show it is possible to develop an efficient approximation algorithm that, thanks to the internal submodularity, can use standard graph cuts as a subroutine. We demonstrate the advantages of edge coupling in a natural setting, namely image segmentation. In particular, for fine-structured objects and objects with shading variation, our structured edge coupling leads to significant improvements over standard approaches.
Keywords :
approximation theory; graph theory; image segmentation; approximation algorithm; edge coupling; fine structured objects; graph cuts; image segmentation; nonsubmodular global energy functions; shading variation; submodular energies; Approximation algorithms; Approximation methods; Computer vision; Couplings; Image edge detection; Image segmentation; Labeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
Conference_Location :
Providence, RI
ISSN :
1063-6919
Print_ISBN :
978-1-4577-0394-2
Type :
conf
DOI :
10.1109/CVPR.2011.5995589
Filename :
5995589
Link To Document :
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