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228
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CVPR
2005
IEEE
16 years 9 months ago
Wide-Baseline Stereo Matching with Line Segments
We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invaria...
Herbert Bay, Vittorio Ferrari, Luc J. Van Gool
SMI
2006
IEEE
108views Image Analysis» more  SMI 2006»
16 years 1 months ago
Segmenting Point Sets
There is a growing need to extract features from point sets for purposes like model classification, matching, and exploration. We introduce a technique for segmenting a point-sam...
Ichitaro Yamazaki, Vijay Natarajan, Zhaojun Bai, B...
TMI
2008
109views more  TMI 2008»
15 years 7 months ago
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
200
Voted
ICCV
1999
IEEE
15 years 11 months ago
Motion Segmentation based on Factorization Method and Discriminant Criterion
A motion segmentation algorithm based on factorization method and discriminant criterion is proposed. This method uses a feature with the most useful similarities for grouping, se...
Naoyuki Ichimura
ICPR
2006
IEEE
16 years 1 months ago
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
A novel stereo matching algorithm is proposed that utilizes color segmentation on the reference image and a selfadapting matching score that maximizes the number of reliable corre...
Andreas Klaus, Mario Sormann, Konrad F. Karner