DocumentCode :
3051337
Title :
Subset selection for active object recognition
Author :
Winkeler, Jay ; Manjunath, B.S. ; Chandrasekaran, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume :
2
fYear :
1999
fDate :
1999
Abstract :
This paper presents an algorithm for constructing object representations suitable for recognition. The system automatically selects a representative subset of the views of the object while constructing the eigenspace basis. These views are actively located for object identification and pose determination. All processing is performed on-line. The camera is actively positioned during both representation and recognition. When tested with 240 views for each of seven objects, the system achieves 100% accurate object recognition and pose determination. These results are shown to degrade gracefully as conditions deteriorate
Keywords :
image representation; object recognition; active object recognition; eigenspace basis; object representations; pose determination; Cameras; Degradation; Face recognition; Greedy algorithms; Image recognition; Image reconstruction; Object recognition; Sampling methods; Solid modeling; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location :
Fort Collins, CO
ISSN :
1063-6919
Print_ISBN :
0-7695-0149-4
Type :
conf
DOI :
10.1109/CVPR.1999.784729
Filename :
784729
Link To Document :
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