一种提高物体边界性能的快速立体视觉算法

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2006-10-01 DOI:10.1109/IROS.2006.282033

Jun Zhao, J. Katupitiya

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引用次数: 8

摘要

传统的基于相关性的立体视觉算法在物体边界处由于遮挡而表现不佳。本文分析了深度不连续处的图像特征，以提高图像的性能。它使用了一个新的窗口方案，特别是处理遮挡。结果表明，在深度不连续情况下，该方法的性能得到了显著提高

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A Fast Stereo Vision Algorithm With Improved Performance at Object Borders

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

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来源期刊

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems

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