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» Stereo Matching with Symmetric Cost Functions
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CVPR
2006
IEEE
14 years 6 months ago
Stereo Matching with Symmetric Cost Functions
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Kuk-Jin Yoon, In-So Kweon
IJCV
2002
129views more  IJCV 2002»
13 years 4 months ago
A Hierarchical Symmetric Stereo Algorithm Using Dynamic Programming
In this paper, a new hierarchical stereo algorithm is presented. The algorithm matches individual pixels in corresponding scanlines by minimizing a cost function. Several cost fun...
G. Van Meerbergen, Maarten Vergauwen, Marc Pollefe...
ICCV
2005
IEEE
14 years 6 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
2007
IEEE
14 years 6 months ago
Evaluation of Cost Functions for Stereo Matching
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with ...
Daniel Scharstein, Heiko Hirschmüller
ECCV
2008
Springer
14 years 6 months ago
Learning Two-View Stereo Matching
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...