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» Application of Level Set Methods in Computer Vision
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CVPR
2010
IEEE
14 years 5 days ago
Object Separation In X-Ray Image Sets
In the segmentation of natural images, most algorithms rely on the concept of occlusion. In x-ray images, however, this assumption is violated, since x-ray photons penetrate most ...
Geremy Heitz, Gal Chechik
VISUALIZATION
2002
IEEE
14 years 17 days ago
Level-Set Segmentation From Multiple Non-Uniform Volume Datasets
Typically 3-D MR and CT scans have a relatively high resolution in the scanning X;Y plane, but much lower resolution in the axial Z direction. This non-uniform sampling of an obje...
Ken Museth, David E. Breen, Leonid Zhukov, Ross T....
IJCV
2006
192views more  IJCV 2006»
13 years 7 months ago
Piecewise-Smooth Dense Optical Flow via Level Sets
We propose a new algorithm for dense optical flow computation. Dense optical flow schemes are challenged by the presence of motion discontinuities. In state of the art optical flo...
Tomer Amiaz, Nahum Kiryati
ICCV
2003
IEEE
14 years 9 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
CVPR
2011
IEEE
13 years 3 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...