Real-Time Stereo Matching System

2018 ◽  
pp. 377-386 ◽  
Author(s):  
Angfan Zhu ◽  
Zhiguo Cao ◽  
Yang Xiao
Keyword(s):  
Real Time ◽  
Stereo Matching

scholarly journals Real-Time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid

2010 ◽  
pp. 510-523 ◽  
Author(s):  
Christian Richardt ◽  
Douglas Orr ◽  
Ian Davies ◽  
Antonio Criminisi ◽  
Neil A. Dodgson
Keyword(s):  
Real Time ◽  
Stereo Matching

scholarly journals A Real-Time Range Finding System with Binocular Stereo Vision

10.5772/50921 ◽  
2012 ◽  
Vol 9 (1) ◽  
pp. 26 ◽  
Author(s):  
Xiao-Bo Lai ◽  
Hai-Shun Wang ◽  
Yue-Hong Xu
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Single Point ◽  
Time Range ◽  
Real Time Control ◽  
Matching Algorithm ◽  
Range Finding ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

To acquire range information for mobile robots, a TMS320DM642 DSP-based range finding system with binocular stereo vision is proposed. Firstly, paired images of the target are captured and a Gaussian filter, as well as improved Sobel kernels, are achieved. Secondly, a feature-based local stereo matching algorithm is performed so that the space location of the target can be determined. Finally, in order to improve the reliability and robustness of the stereo matching algorithm under complex conditions, the confidence filter and the left-right consistency filter are investigated to eliminate the mismatching points. In addition, the range finding algorithm is implemented in the DSP/BIOS operating system to gain real-time control. Experimental results show that the average accuracy of range finding is more than 99% for measuring single-point distances equal to 120cm in the simple scenario and the algorithm takes about 39ms for ranging a time in a complex scenario. The effectivity, as well as the feasibility, of the proposed range finding system are verified.

Real-time Stereo Matching Spot Using Transputer Arrays

2005 ◽  
Author(s):  
J.-P. Muller ◽  
G.P. Otto ◽  
T.K.W. Chau ◽  
K.A. Collins ◽  
N.D.T. Day ◽  
...  
Keyword(s):  
Real Time ◽  
Stereo Matching
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