A Fast Stereo Vision Algorithm With Improved Performance at Object Borders

Abstract

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