DocumentCode :
2472800
Title :
Hierarchical region based stereo matching
Author :
Cohen, Lawrence ; Vinet, Laurent ; Sander, Peter T. ; Gagalowicz, Andre
Author_Institution :
Domaine de Voluceau-Rocquencourt, Le Chesnay, France
fYear :
1989
fDate :
4-8 Jun 1989
Firstpage :
416
Lastpage :
421
Abstract :
Stereo matching is the process of determining correspondences between entities in related images. Often, this is treated as two quite independent subprocesses, namely, segmentation, followed by matching. These processes are treated as naturally related, in that partial matching is fed back to the segmentation and both proceed simultaneously in a cooperative fashion. Regions are considered as the primitives to be matched, since many of the shortcomings inherent in approaches based on points or lines can be overcome by taking more developed entities. The implementation is based on maintaining a hierarchy of segmented regions in each image, corresponding to analysis at differing scales. The selection of a particular segmentation in each image at a scale appropriate to each region is validated with reference to the optimal matching region in the other image. Examples of these methods, applied to a synthetic image (incorporating color) and to natural office scenes, are presented
Keywords :
pattern recognition; picture processing; correspondences; hierarchical region based stereo matching; natural scenes; pattern recognition; picture processing; segmentation; synthetic image; Biological systems; Detectors; Feeds; Image edge detection; Image segmentation; Machine vision; Orbital robotics; Shape; Stereo vision; Visual perception;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Conference_Location :
San Diego, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-1952-x
Type :
conf
DOI :
10.1109/CVPR.1989.37880
Filename :
37880
Link To Document :
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