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CVPR
2004
IEEE
15 years 2 months ago
Window-Based, Discontinuity Preserving Stereo
Traditionally, the problem of stereo matching has been addressed either by a local window-based approach or a dense pixel-based approach using global optimization. In this paper, ...
Motilal Agrawal, Larry S. Davis
CVPR
2001
IEEE
15 years 2 months ago
Rectifying Transformations That Minimize Resampling Effects
Image rectification is the process of warping a pair of stereo images in order to align the epipolar lines with the scan-lines of the images. Once a pair of images is rectified, s...
Joshua Gluckman, Shree K. Nayar
IJCV
2008
282views more  IJCV 2008»
15 years 5 months ago
Stereo Matching Using Population-Based MCMC
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...
Wonsik Kim (Seoul National University), Joonyoung ...
CVPR
2008
IEEE
15 years 5 months ago
Illumination and Camera Invariant Stereo Matching
Color information can be used as a basic and crucial cue for finding correspondence in a stereo matching algorithm. In a real scene, however, image colors are affected by various g...
Yong Seok Heo (Seoul National University), Kyoung ...
CVPR
2009
IEEE
15 years 7 months ago
Stereo Matching with Nonparametric Smoothness Priors in Feature Space
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
Brandon M. Smith, Hailin Jin, Li Zhang
CVPR
2009
IEEE
15 years 7 months ago
Stereo Matching in the Presence of Sub-Pixel Calibration Errors
Stereo matching commonly requires rectified images that are computed from calibrated cameras. Since all under- lying parametric camera models are only approximations, calibratio...
Heiko Hirschmüller, Stefan K. Gehrig
CVPR
2009
IEEE
1930views Computer Vision» more  CVPR 2009»
15 years 7 months ago
Mutual Information-based Stereo Matching Combined with SIFT Descriptor in Log-chromaticity Color Space
Radiometric variations between input images can seriously degrade the performance of stereo matching algorithms. In this situation, mutual information is a very popular and powe...
Yong Seok Heo (Seoul National University), Kyoung ...