DocumentCode :
2037904
Title :
Adaptive hierarchical stereo matching using object segmentation and window warping
Author :
Kim, Jae-Chul ; Kang, Byoung-Ho ; Cho, Maeng-Sub
Author_Institution :
Image Process. Dept., Electron. & Telecommun. Res. Inst., Taejeon, South Korea
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
2295
Abstract :
In this paper, we propose an adaptive stereo matching algorithm to encompass stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-size block matching algorithm, we tried to use adaptive window warping method in hierarchical matching process to compensate the perspective distortions. In addition, probability theory was adopted to encompass uncertainty of disparity of points over the window in this study. The proposed stereo matching algorithm has been tested on both disparity map and 3D model view. The experimental results show that remarkable improvement is obtained in the projective distortion region
Keywords :
image matching; image segmentation; stereo image processing; adaptive hierarchical stereo matching; fixed-size block matching algorithm; object segmentation; projective distortion region; window warping; Cameras; Color; Image processing; Laboratories; Object segmentation; Optical distortion; Software algorithms; Solid modeling; Testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
ISSN :
1062-922X
Print_ISBN :
0-7803-7087-2
Type :
conf
DOI :
10.1109/ICSMC.2001.972899
Filename :
972899
Link To Document :
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