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ECCV
2010
Springer
10 years 10 months ago
An Efficient Graph Cut Algorithm for Computer Vision Problems
Abstract. Graph cuts has emerged as a preferred method to solve a class of energy minimization problems in computer vision. It has been shown that graph cut algorithms designed kee...
Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N...
ICCV
2007
IEEE
12 years 3 months ago
Capacity Scaling for Graph Cuts in Vision
Capacity scaling is a hierarchical approach to graph representation that can improve theoretical complexity and practical efficiency of max-flow/min-cut algorithms. Introduced by ...
Olivier Juan, Yuri Boykov
CVPR
2009
IEEE
12 years 8 months ago
Efficient Planar Graph Cuts with Applications in Computer Vision
We present a fast graph cut algorithm for planar graphs. It is based on the graph theoretical work [2] and leads to an efficient method that we apply on shape matching and im- a...
Daniel Cremers, Eno Töppe, Frank R. Schmidt
CVPR
1998
IEEE
12 years 3 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
EMMCVPR
2007
Springer
11 years 5 months ago
Efficient Shape Matching Via Graph Cuts
Abstract. Meaningful notions of distance between planar shapes typically involve the computation of a correspondence between points on one shape and points on the other. To determi...
Frank R. Schmidt, Eno Töppe, Daniel Cremers, ...
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