Fast stereo matching for implementation in a 3-D vision sensor
Abdelaziz Bensrhair, Pierre Miché, R. Debrie
- 发表年份
- 2002
- 引用次数
- 3
摘要
An attempt is made to realize a 3-D vision sensor which can be applied to navigable robot and autonomous vehicles. These applications require fast, auto-adaptive algorithms which can be processed by parallel processors. The authors present a novel fast stereo matching algorithm ignoring epipolar geometry based on the prediction and verification of hypotheses. Experimental results obtained on several pairs of stereo images are given. Computational time is only 12 ms to match two lines. A complete stereo processing system including the proposed algorithm is currently being implemented on a specialized architecture, thanks to which the processing time will be reduced to 0.1 s.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991