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Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
Abstract
We introduce the term cosegmentation which denotes the task of segmenting simultaneously the common parts of an image pair. A generative model for cosegmentation is presented. Inference in the model leads to minimizing an energy with an MRF term encoding spatial coherency and a global constraint which attempts to match the appearance histograms of the common parts. This energy has not been proposed previously and its optimization is challenging and NP-hard. For this problem a novel optimization scheme which we call trust region graph cuts is presented. We demonstrate that this framework has the potential to improve a wide range of research: Object driven image retrieval, video tracking and segmentation, and interactive image editing. The power of the framework lies in its generality, the common part can be a rigid/non-rigid object (or scene), observed from different viewpoints or even similar objects of the same class.
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Citations
Cites
Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560
Cited by
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Grady, L. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.233 · Cited by 2,624
iCoseg: Interactive co-segmentation with intelligent scribble guidance
Batra, D., Kowdle, A., Parikh, D., Luo, J., & Chen, T. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5540080 · Cited by 468
Pedestrian Attribute Recognition At Far Distance
DENG, Y., Luo, P., Loy, C. C., & Tang, X. (2014) · Proceedings of the 22nd ACM international conference on Multimedia · doi:10.1145/2647868.2654966 · Cited by 448
Key-segments for video object segmentation
Lee, Y. J., Kim, J., & Grauman, K. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126471 · Cited by 443
Discriminative clustering for image co-segmentation
Joulin, A., Bach, F., & Ponce, J. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539868 · Cited by 438
Metadata
- Authors
- Rother, C., Minka, T., Blake, A., & Kolmogorov, V.
- Venue
- 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)
- Publisher
- IEEE
- Published
- 2006-07-10
- Volume
- 1
- Pages
- 993-1000
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2157244733
- Cited by
- 535
- References
- 1
- FWCI
- 12.72
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Rother, C., Minka, T., Blake, A., & Kolmogorov, V. (2006). Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06). https://doi.org/10.1109/cvpr.2006.91
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