Empirical Inference
Conference Paper
2011
Submodularity beyond submodular energies: coupling edges in graph cuts
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 finestructured objects and objects with shading variation, our structured edge coupling leads to significant improvements over standard approaches.
Author(s): | Jegelka, S. and Bilmes, J. |
Pages: | 1897-1904 |
Year: | 2011 |
Month: | June |
Day: | 0 |
Publisher: | IEEE |
Bibtex Type: | Conference Paper (inproceedings) |
Address: | Piscataway, NJ, USA |
DOI: | 10.1109/CVPR.2011.5995589 |
Event Name: | IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011) |
Event Place: | Colorado Springs, CO, USA |
Digital: | 0 |
Electronic Archiving: | grant_archive |
ISBN: | 978-1-4577-0394-2 |
Links: |
BibTex
@inproceedings{JegelkaB2011, title = {Submodularity beyond submodular energies: coupling edges in graph cuts}, 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 finestructured objects and objects with shading variation, our structured edge coupling leads to significant improvements over standard approaches. }, pages = {1897-1904}, publisher = {IEEE}, address = {Piscataway, NJ, USA}, month = jun, year = {2011}, slug = {jegelkab2011}, author = {Jegelka, S. and Bilmes, J.}, month_numeric = {6} }