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A Fast Stereo Vision Algorithm With Improved Performance at Object Borders

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2 Author(s)
Jun Zhao ; Sch. of Mech. & Manuf. Eng., New South Wales Univ., Sydney, NSW ; Katupitiya, J.

Conventional correlation based stereo vision algorithms have poor performance at object borders due to occlusion. This paper analyzes image characteristics at depth discontinuities to improve the performance. It uses a new window scheme, especially to handle occlusion. The results show dramatically improved performance at depth discontinuities

Published in:
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on

Date of Conference: 9-15 Oct. 2006

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