DocumentCode :
3203539
Title :
Multi-Scale Gabor Phase-Based Stereo Matching using Graph Cuts
Author :
Zhang, Peifeng ; Xu, Yi ; Yang, Xiaokang ; Traversoni, Leonardo
Author_Institution :
Shanghai Jiao Tong Univ., Shanghai
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
1934
Lastpage :
1937
Abstract :
In this paper, we present a multi-scale Gabor phase-based stereo matching scheme. Unlike the mechanism in the existing phase-based stereo matching methods, where disparity is formulated as the ratio of phase difference between two views to the local frequency at the given position, we set up a robust data measure from multi-scale Gabor phases to greatly alleviate the negative effect of phase singularity. A cost function is then advanced based on this robust data measure. To further improve the accuracy of disparity estimation, we formulate the cost function as three coupled Markov Random Field (MRF) cost terms in frequency domain. To obtain globally optimized disparity map in wide range, graph cut is employed to perform the minimization of the cost function. Compared with the state-of-the-art stereo matching methods, experimental results demonstrate that our approach gets comparable matching performance in indoor scenes and achieves much better results in aerial scenes.
Keywords :
Gabor filters; Markov processes; graph theory; image matching; minimisation; motion estimation; stereo image processing; Markov random field; cost function minimization; disparity estimation; globally optimized disparity map; graph cuts; multi-scale Gabor phase-based stereo matching; robust data measure; Cost function; Frequency measurement; Gabor filters; Layout; Linearity; Markov random fields; Phase estimation; Phase measurement; Robustness; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
Type :
conf
DOI :
10.1109/ICME.2007.4285055
Filename :
4285055
Link To Document :
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