DocumentCode :
3190693
Title :
Parallel processing for spatial grouping and matching
Author :
Nevatia, R. ; Reinhart, C.C.
Author_Institution :
Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear :
1994
fDate :
9-13 Oct 1994
Firstpage :
290
Abstract :
In this paper, we identify the computational requirements for structural pattern analysis, particularly for the operations of spatial grouping and matching. We describe two such algorithms that are in wide use here at USC and discuss approaches to reducing their execution times via parallel implementation. We provide brief descriptions and results of two research projects geared generally, toward the parallel implementation of computer vision systems and specifically, towards these algorithms
Keywords :
parallel processing; computer vision systems; parallel processing; spatial grouping; spatial matching; structural pattern analysis; Computational intelligence; Computer architecture; Computer vision; Concurrent computing; Hardware; Image edge detection; Intelligent robots; Intelligent systems; Parallel processing; Software algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1994. Vol. 3 - Conference C: Signal Processing, Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6275-1
Type :
conf
DOI :
10.1109/ICPR.1994.577180
Filename :
577180
Link To Document :
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