Stereo correspondence based on curvelet decomposition, support weights, and disparity calibration
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Issue Date
2010-04-13Author
Mukherjee, Dibyendu
Wang, Guanghui
Wu, Q. M. Jonathan
Publisher
Society of Photo-optical Instrumentation Engineers
Type
Article
Article Version
Scholarly/refereed, publisher version
Rights
Copyright 2010 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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Show full item recordAbstract
A novel multiresolution analysis-based stereo matching method using curvelets, support weights, and disparity calibration is proposed. By introducing curvelet decomposition, we obtain the curvelet coefficients in different scales and orientations, and the image points can be better described and represented by these coefficients. By using support weights, the fattening effect suffered by previous methods is reduced. As a result, false matches are reduced greatly and overall accuracy is increased. Disparity calibration smoothes the disparity map and removes the remaining outliers to further improve accuracy. The proposed method is verified and compared extensively with state of the art methods, and good results and improvements are achieved.
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Citation
Dibyendu Mukherjee ; Guanghui Wang and Q. M. Jonathan Wu "Stereo correspondence based on curvelet decomposition, support weights, and disparity calibration", Opt. Eng. 49(4), 047202 (April 13, 2010). ; http://dx.doi.org/10.1117/1.3377989
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