Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs

C. Rother, V. Kolmogorov, T. Minka, A. Blake, in:, IEEE, 2006, pp. 993–1000.

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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.
Publishing Year
Date Published
2006-07-05
Page
993 - 1000
Conference
CVPR: Computer Vision and Pattern Recognition
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Rother C, Kolmogorov V, Minka T, Blake A. Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs. In: IEEE; 2006:993-1000. doi:10.1109/CVPR.2006.91
Rother, C., Kolmogorov, V., Minka, T., & Blake, A. (2006). Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs (pp. 993–1000). Presented at the CVPR: Computer Vision and Pattern Recognition, IEEE. https://doi.org/10.1109/CVPR.2006.91
Rother, Carsten, Vladimir Kolmogorov, Thomas Minka, and Andrew Blake. “Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs,” 993–1000. IEEE, 2006. https://doi.org/10.1109/CVPR.2006.91.
C. Rother, V. Kolmogorov, T. Minka, and A. Blake, “Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs,” presented at the CVPR: Computer Vision and Pattern Recognition, 2006, pp. 993–1000.
Rother C, Kolmogorov V, Minka T, Blake A. 2006. Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs. CVPR: Computer Vision and Pattern Recognition 993–1000.
Rother, Carsten, et al. Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs. IEEE, 2006, pp. 993–1000, doi:10.1109/CVPR.2006.91.

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