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ICCV
2009
IEEE
1434views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Texel-based Texture Segmentation
Given an arbitrary image, our goal is to segment all distinct texture subimages. This is done by discovering distinct, cohesive groups of spatially repeating patterns, called tex...
Sinisa Todorovic, Narendra Ahuja
ICCV
2009
IEEE
16 years 11 months ago
Non-Negative Matrix Factorization of Partial Track Data for Motion Segmentation
This paper addresses the problem of segmenting lowlevel partial feature point tracks belonging to multiple motions. We show that the local velocity vectors at each instant of th...
Anil M. Cheriyadat and Richard J. Radke
CVPR
1998
IEEE
16 years 8 months ago
Segmentation by Grouping Junctions
We propose a methodfor segmenting gray-value images. By segmentation, we mean a map from the set of pixels to a small set of levels such that each connected component of the set o...
Hiroshi Ishikawa 0002, Davi Geiger
CVPR
2005
IEEE
16 years 8 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
CVPR
2005
IEEE
16 years 8 months ago
Level Set Based Shape Prior Segmentation
We propose a level set based variational approach that incorporates shape priors into Chan-Vese's model [3] for the shape prior segmentation problem. In our model, besides th...
Tony F. Chan, Wei Zhu