This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
An improved real-time miniaturized embedded stereo vision system (MESVS-II)
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Bahador Khaleghi, Computer Vision and Sensing Systems Laboratory, E.C.E. Department, University of Windsor, Canada
Siddhant Ahuja, Computer Vision and Sensing Systems Laboratory, E.C.E. Department, University of Windsor, Canada
Q. M. Jonathan Wu, Computer Vision and Sensing Systems Laboratory, E.C.E. Department, University of Windsor, Canada
In this paper we describe a fully integrated, real-time, miniaturized embedded stereo vision system (MESVS-II), which fits within 5×5cm and consumes very low power. This is a significant improvement over the original MESVS-I system in terms of performance, quality and accuracy of results. MESVS-II running at 600MHz per core, is capable of operating at up to 20 fps, which is twice as fast as MESVS-I, due to the efficient implementation of stereo-vision algorithms, improved memory and data management, in-place processing scheme, code optimization, and the pipelined-programming model that takes advantage of the dual-core architecture of the embedded processor. The firmware incorporates sub-sampling, rectification, pre-processing, matching, LRC (Left/Right Consistency) check and post-processing. As demonstrated by our experimental results, we have also enhanced the robustness of the stereo-matching engine to radiometric variations by choosing census transform over rank transform.
Citation:
Bahador Khaleghi, Siddhant Ahuja, Q. M. Jonathan Wu, "An improved real-time miniaturized embedded stereo vision system (MESVS-II)," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
Usage of this product signifies your acceptance of the Terms of Use.