
Proceedings Paper
Analysis of real-time performance of stereo matching algorithm visionFormat | Member Price | Non-Member Price |
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Paper Abstract
Stereo Matching is one of the most important parts of achieving stereo vision system. Different three-dimensional visual
systems have different requirements for matching algorithms, especially real-time stereo vision system having high
performance requirements for time. Many three-dimensional matching algorithms already exist, and algorithms based on
regional matching will be used to obtain a three-dimensional density disparity map. It can be applied to match the higher
accuracy of the occasion, but measure of similarity needs an enormous amount of computation, which will delay the
match time. If physical hardware is used to achieve matching algorithms, it can effectively improve the performance of
real-time system. Regular structure algorithm, which is achieved in hardware circuits with parallel computing function,
can have a higher time performance. Comparing several algorithms in real-time performance is the essential evidence to
develop real-time visual systems.
Paper Details
Date Published: 20 May 2009
PDF: 6 pages
Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72834M (20 May 2009); doi: 10.1117/12.828832
Published in SPIE Proceedings Vol. 7283:
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; James C. Wyant; Robert A. Smythe; Hexin Wang, Editor(s)
PDF: 6 pages
Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72834M (20 May 2009); doi: 10.1117/12.828832
Show Author Affiliations
Liping Li, Harbin Normal Univ. (China)
Published in SPIE Proceedings Vol. 7283:
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; James C. Wyant; Robert A. Smythe; Hexin Wang, Editor(s)
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