5740 search results - page 256 / 1148 » Application of Level Set Methods in Computer Vision |
175
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ICPR
2010
IEEE
16 years 15 days ago
2010
IEEE
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
189
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ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
204
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BMVC
2001
15 years 9 months ago
2001
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
198
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CVPR
1997
IEEE
15 years 11 months ago
1997
IEEE
In this paper we focus on using local 3D structure for segmentation. A tensor descriptor is estimated for each neighbourhood, i.e. for each voxel in the data set. The tensors are ...
162
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...