Stereo Matching with Transparency and Matting
International Journal of Computer Vision - 1998 Marr Prize
A Layered Approach to Stereo Reconstruction
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Neural adaptive stereo matching
Pattern Recognition Letters
High-quality single-shot capture of facial geometry
ACM SIGGRAPH 2010 papers
View synthesis using stereo vision
View synthesis using stereo vision
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Cross anisotropic cost volume filtering for segmentation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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One of the central problems in stereo matching (and other image registration tasks) is the selection of optimal window sizes for comparing image regions. This paper addresses this problem with some novel algorithms based on iteratively diffusing support at different disparity hypotheses, and locally controlling the amount of diffusion based on the current quality of the disparity estimate. It also develops a novel Bayesian estimation technique which significantly outperforms techniques based on area-based matching (SSD) and regular diffusion. We provide experimental results on both synthetic and real stereo image pairs.