DocumentCode :
2522449
Title :
Heuristic relaxation approaches for 3-D object recognition
Author :
Zhou, X.Y. ; Davis, W.A.
Author_Institution :
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
fYear :
1990
fDate :
13-18 May 1990
Firstpage :
1852
Abstract :
An approach which aims at increasing the efficiency of tree search using heuristic and relaxation techniques is presented. To increase the efficiency, a structural description for 3D object representation is proposed. Algorithms based on the proposed model for object recognition are developed, and the performance of the algorithms is compared with that of previous algorithms
Keywords :
computer vision; relaxation theory; search problems; trees (mathematics); 3-D object recognition; computer vision; heuristic relaxation; tree search; Computer vision; Data structures; Databases; Labeling; Libraries; NP-complete problem; Object recognition; Robot vision systems; Tree graphs; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
Conference_Location :
Cincinnati, OH
Print_ISBN :
0-8186-9061-5
Type :
conf
DOI :
10.1109/ROBOT.1990.126278
Filename :
126278
Link To Document :
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