DocumentCode :
1385575
Title :
A parallel algorithm for incremental stereo matching on SIMD machines
Author :
Laine, Andrew F. ; Roman, Gruia-Catalin
Author_Institution :
Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL, USA
Volume :
7
Issue :
1
fYear :
1991
fDate :
2/1/1991 12:00:00 AM
Firstpage :
123
Lastpage :
134
Abstract :
An effort has been made to develop a robust high-speed stereo matcher by exploiting parallel algorithms executing on general-purpose SIMD machines. This approach is based on several existing techniques dealing with the classification and evaluation of matches, the application of ordering constraints, and relaxation-based matching. The techniques have been integrated and reformulated in terms of parallel execution on a theoretical SIMD machine. An ideal machine topology for executing this parallel algorithm is identified through complexity analysis. Feasibility is demonstrated by implementation on a commercially available SIMD machine, and its performance is compared with that of the idealized machine. Sample results are shown for real and synthetic stereo pairs
Keywords :
computerised pattern recognition; computerised picture processing; parallel algorithms; parallel machines; SIMD machines; computerised pattern recognition; computerised picture processing; incremental stereo matching; machine topology; ordering constraints; parallel algorithm; relaxation-based matching; Computer vision; Data mining; Hardware; Inspection; Layout; Navigation; Parallel algorithms; Real time systems; Robot vision systems; Stereo vision;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.68076
Filename :
68076
Link To Document :
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