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» Image segmentation by convex quadratic programming
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CVPR
2011
IEEE
13 years 29 days 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...
CVPR
2011
IEEE
13 years 29 days 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 seq...
Daniel Glasner, Shiv Vitaladevuni, Ronen Basri
SIAMIS
2008
174views more  SIAMIS 2008»
13 years 5 months ago
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
We consider the restoration of piecewise constant images where the number of the regions and their values are not fixed in advance, with a good difference of piecewise constant val...
Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki...
ICCV
2003
IEEE
14 years 7 months ago
Dominant Sets and Hierarchical Clustering
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
Massimiliano Pavan, Marcello Pelillo
ICCV
2003
IEEE
14 years 7 months ago
Landmark-based Shape Deformation with Topology-Preserving Constraints
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
Song Wang, Jim Xiuquan Ji, Zhi-Pei Liang