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» Computing Visual Correspondence with Occlusions via Graph Cu...
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CVPR
2010
IEEE
13 years 5 months ago
Common visual pattern discovery via spatially coherent correspondences
We investigate how to discover all common visual patterns within two sets of feature points. Common visual patterns generally share similar local features as well as similar spati...
Hairong Liu, Shuicheng Yan
3DPVT
2006
IEEE
240views Visualization» more  3DPVT 2006»
14 years 1 months ago
Global Depth from Epipolar Volumes--A General Framework for Reconstructing Non-Lambertian Surfaces
Using Epipolar Image Analysis in the context of the correspondence finding problem in depth reconstruction has several advantages. One is the elegant incorporation of prior knowl...
Timo Stich, Art Tevs, Marcus A. Magnor
CVPR
2003
IEEE
14 years 10 months ago
Surfaces with Occlusions from Layered Stereo
Although steady progress has been made in recent stereo algorithms, producing accurate results in the neighborhood of depth discontinuities remains a challenge. Moreover, among th...
Michael H. Lin, Carlo Tomasi
CVPR
1998
IEEE
14 years 10 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
ICIP
2007
IEEE
14 years 9 months ago
Modeling of Front Evolution with Graph Cut Optimization
In this paper, we present a novel active contour model, in which the traditional gradient descent optimization is replaced by graph cut optimization. The basic idea is to first de...
Hang Chang, Qing Yang, Manfred Auer, Bahram Parvin