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» Application of Level Set Methods in Computer Vision
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ICPR
2008
IEEE
14 years 2 months ago
A performance controllable octree construction method
The conventional octree construction method is implemented iteratively at consecutive subdivision levels. The resultant octree models at different subdivision levels contain quite...
Zen Chen, Hong-Long Chou, Wen-Chao Chen
JSCIC
2010
231views more  JSCIC 2010»
13 years 2 months ago
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Tom Goldstein, Xavier Bresson, Stanley Osher
CVPR
2008
IEEE
14 years 9 months ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson
FOCS
2009
IEEE
14 years 2 months ago
Extensions to the Method of Multiplicities, with Applications to Kakeya Sets and Mergers
We extend the “method of multiplicities” to get the following results, of interest in combinatorics and randomness extraction.
Zeev Dvir, Swastik Kopparty, Shubhangi Saraf, Madh...
IJCV
2000
133views more  IJCV 2000»
13 years 7 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer