利用视觉目标遮挡和轮廓信息确定下一最佳观测方位

doi:10.11999/JEIT150190

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Abstract

Determining camera’s next best view is a difficult issue in visual field. A next best view approach based on depth image of visual object is proposed by using occlusion and contour information in this paper. Firstly, the occlusion detection is accomplished for the depth image of visual object in current view. Secondly, the unknown regions are constructed according to the occlusion detection result of the depth image and the contour of the visual object, and then the unknown regions are modeled with triangulation-like. Thirdly, the midpoint, normal vector and area of each small triangle and other information are utilized to establish the objective function. Finally, the next best view is obtained by optimizing objective function. Experimental results demonstrate that the approach is feasible and effective.

Key words： Depth image Occlusion Contour Unknown regions Triangulation-like Next best view

Received: 02 February 2015 Published: 01 November 2015

PACS:

TP391

Fund:

The National Natural Science Foundation of China (61379065); The Natural Science Foundation of Hebei Province (F2014203119)

Corresponding Authors: Zhang Shi-hui E-mail: sshhzz@ysu.edu.cn

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	Zhang Shi-hui
	Han De-wei
	He Huan

Cite this article:

Zhang Shi-hui,Han De-wei,He Huan. Determining Next Best View Using Occlusion and Contour Information of Visual Object[J]. JEIT, 2015, 37(12): 2921-2928.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150190 OR http://jeit.ie.ac.cn/EN/Y2015/V37/I12/2921

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