DocumentCode
3205653
Title
Multi-primitive hierarchical (MPH) stereo system
Author
Marapane, Suresh B. ; Trivedi, Mohan M.
Author_Institution
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
fYear
1992
fDate
15-18 Jun 1992
Firstpage
499
Lastpage
505
Abstract
A computational framework for an accurate, robust, and efficient stereo approach is developed. Most of the deficiencies prevailing in current computational models of stereo can be attributed to their use of a single, typically edge-element-based, primitive for stereo analysis and to their use of a single-level control strategy. The multi-primitive hierarchical (MPH) framework for stereo analysis presented is directed toward overcoming these deficiencies. In the MPH model, stereo analysis is performed in multiple stages, incorporating multiple primitives and utilizing a hierarchical control strategy. The higher levels of the hierarchical system are based on primitives containing more semantic information, and the results of stereo analysis at higher levels are used for guidance at the lower levels. It is shown that such a stereo system is superior to a single-level, single-primitive system
Keywords
stereo image processing; computational framework; computational models; multiprimitive hierarchical stereo system; semantic information; stereo analysis; Algorithm design and analysis; Computational modeling; Computer vision; Contracts; Laboratories; Layout; Performance analysis; Robot vision systems; Robustness; Stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223144
Filename
223144
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