期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2012
卷号：9
期号：6
页码：230
DOI：10.5772/53823
语种：English
出版社：SAGE Publications
摘要：This paper describes a novel self-occlusion detection approach for depth image using SVM. This work is distinguished by three contributions. The first contribution is the introduction of a new self-occlusion detection idea, which takes the self-occlusion as a classification problem for the first time, thus the accuracy of the detection result is improved. The second contribution is two new self-occlusion-related features, named maximal depth difference and included angle. The third contribution is a specific self-occlusion detection algorithm. Experimental results not only show that the proposed approach is feasible and effective, but also show that our works produce better results than those previously published.
关键词：Depth image ; self-occlusion detection ; support vector machine ; maximal depth difference feature ; included angle feature
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