Title :
An improved real-time miniaturized embedded stereo vision system (MESVS-II)
Author :
Khaleghi, Bahador ; Ahuja, Siddhant ; Wu, Q. M Jonathan
Author_Institution :
E.C.E. Dept., Univ. of Windsor, Windsor, ON
Abstract :
In this paper we describe a fully integrated, real-time, miniaturized embedded stereo vision system (MESVS-II), which fits within 5times5cm 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.
Keywords :
stereo image processing; transforms; census transform; dual-core architecture; miniaturized embedded stereo vision; radiometric variation; stereo-matching engine; system; Computer vision; Costs; Digital signal processing; Energy consumption; Engines; Memory management; Radiometry; Real time systems; Robustness; Stereo vision;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4244-2339-2
Electronic_ISBN :
2160-7508
DOI :
10.1109/CVPRW.2008.4563144