A Self-Occlusion Detection Approach Based on Depth Image Using SVM

International Journal of Advanced Robotic Systems

关键词: Depth image;    self-occlusion detection;    support vector machine;    maximal depth difference feature;    included angle feature;   

DOI  :  10.5772/53823

学科分类：自动化工程

来源: InTech

【 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.

【 授权许可】

CC BY