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» Unsupervised Cosegmentation based on Global Graph Matching
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MM
2015
ACM
48views Multimedia» more  MM 2015»
3 years 11 months ago
Unsupervised Cosegmentation based on Global Graph Matching
Cosegmentation is defined as the task of segmenting a common object from multiple images. Hitherto, graph matching has been known as a promising approach because of its flexibil...
Takanori Tamanaha, Hideki Nakamaya
CVPR
2006
IEEE
9 years 10 months ago
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
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. Inf...
Carsten Rother, Thomas P. Minka, Andrew Blake, Vla...
IPMI
2011
Springer
8 years 7 months ago
Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
Dongfeng Han, John E. Bayouth, Qi Song, Aakant Tau...
CVPR
2008
IEEE
10 years 5 months ago
Clothing cosegmentation for recognizing people
Reseachers have verified that clothing provides information about the identity of the individual. To extract features from the clothing, the clothing region first must be localize...
Andrew C. Gallagher, Tsuhan Chen
CVPR
2011
IEEE
8 years 11 months ago
Contour-Based Joint Clustering of Multiple Segmentations
We present an unsupervised, shape-based method for joint clustering of multiple image segmentations. Given two or more closely-related images, such as nearby frames in a video sequ...
Daniel Glasner, Shiv N. Vitaladevuni and Ronen Bas...
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