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» Evaluation of Cost Functions for Stereo Matching
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ICCV
2005
IEEE
14 years 9 months ago
Improved Sub-pixel Stereo Correspondences through Symmetric Refinement
Most dense stereo correspondence algorithms start by establishing discrete pixel matches and later refine these matches to sub-pixel precision. Traditional sub-pixel refinement me...
Diego Nehab, Szymon Rusinkiewicz, James Davis
CVPR
2008
IEEE
14 years 9 months ago
A region based stereo matching algorithm using cooperative optimization
This paper presents a new stereo matching algorithm based on inter-regional cooperative optimization. The proposed algorithm uses regions as matching primitives and defines the co...
Zeng-Fu Wang, Zhi-Gang Zheng
IJCV
2002
143views more  IJCV 2002»
13 years 7 months ago
Trinocular Stereo: A Real-Time Algorithm and its Evaluation
In telepresence applications each user is immersed in a rendered 3D-world composed from representations transmitted from remote sites. The challenge is to compute dense range data...
Jane Mulligan, Volkan Isler, Konstantinos Daniilid...
CVPR
2008
IEEE
14 years 9 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ICIP
2004
IEEE
14 years 9 months ago
Shape estimation of 3-D DNA molecules from stereo cryo-electron micro-graphs
We introduce a 3-D parametric active contour algorithm for the shape estimation of DNA molecules from stereo cryo-electron micrographs. We consider a 3-D filament (consisting of a...
Mathews Jacob, Thierry Blu, Michael Unser