DocumentCode
2595465
Title
Model group indexing for recognition
Author
Clemens, David T. ; Jacobs, David W.
Author_Institution
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
fYear
1991
fDate
3-6 Jun 1991
Firstpage
4
Lastpage
9
Abstract
It is shown that an index space can be a powerful tool for reducing the image-model match search by a factor of k G-3 , but only when accompanied by some mechanism, such as grouping, that prevents the system from having to consider all matches between image groups of size G and model groups of size G . It is also shown that if image groups are to index a single point at recognition time, then the index space must contain pointers to each model group over a 2-D sheet, and should therefore be 2G -4 dimensional. A simple indexing system has been implemented to demonstrate these concepts, and a series of experiments have been conducted to investigate the tradeoffs between space and time. They indicate that the speedups are achievable, but require a large amount of space
Keywords
computer vision; computerised pattern recognition; data structures; table lookup; 2-D sheet; 2G-4 dimensional; image groups; image-model match search; index space; indexing system; model group indexing; pattern recognition; pointers; Acceleration; Artificial intelligence; Computer errors; Contracts; Image recognition; Indexing; Jacobian matrices; Laboratories; Space technology; Table lookup;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location
Maui, HI
ISSN
1063-6919
Print_ISBN
0-8186-2148-6
Type
conf
DOI
10.1109/CVPR.1991.139652
Filename
139652
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