DocumentCode :
2237508
Title :
Local, global, and multilevel stereo matching
Author :
Yang, Yibing ; Yuille, Alan ; Lu, Jie
Author_Institution :
Div. of Appl. Sci., Harvard Univ., Cambridge, MA, USA
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
274
Lastpage :
279
Abstract :
A computational framework is introduced for matching a pair of stereo images which, in contrast to existing algorithms, features a self-contained local matching module cascaded with a global matching module. Local matching outputs a 3-D grey-scale image in which each and every point has an intensity measuring the goodness of a possible match. Global matching reduces to surface detection in this image. To detect the surface, it is first enhanced, employing a hyperpyramid data structure. Unlike traditional multiresolution approaches, which are based on the coarse-to-fine continuation method, the authors´ multilevel method emphasizes a fine-to-coarse process in which local support is accumulated. The algorithm is concise, efficient and above all, gives good results for complex scenes
Keywords :
data structures; image matching; image recognition; stereo image processing; 3-D grey-scale image; fine-to-coarse process; global matching module; hyperpyramid data structure; multilevel stereo matching; self-contained local matching module; stereo images; surface detection; Bayesian methods; Data structures; Dynamic programming; Extraterrestrial measurements; Humans; Impedance matching; Layout; Position measurement; Visual system; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.340969
Filename :
340969
Link To Document :
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