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
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