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PRL
2007
158views more  PRL 2007»
13 years 8 months ago
Stability and convergence of the level set method in computer vision
Several computer vision problems, like segmentation, tracking and shape modeling, are increasingly being solved using level set methodologies. But the critical issues of stability...
Kunal N. Chaudhury, K. R. Ramakrishnan
ICPR
2004
IEEE
14 years 9 months ago
Using Multiple Graphics Cards as a General Purpose Parallel Computer : Applications to Computer Vision
Pattern recognition and computer vision tasks are computationally intensive, repetitive, and often exceed the capabilities of the CPU, leaving little time for higher level tasks. ...
James Fung, Steve Mann
ECCV
2004
Springer
14 years 10 months ago
Weighted Minimal Hypersurfaces and Their Applications in Computer Vision
Abstract. Many interesting problems in computer vision can be formulated as a minimization problem for an energy functional. If this functional is given as an integral of a scalar-...
Bastian Goldlücke, Marcus A. Magnor
BMVC
2010
13 years 6 months ago
Generalized Descriptor Compression for Storage and Matching
Smarter phones have made handheld computer vision a reality, but limited bandwidth, storage space and processing power prevent mobile phones from leveraging the full body of exist...
Matthew Johnson
ICML
2006
IEEE
14 years 9 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal