Determining Next Best View Using Occlusion and Contour Information of Visual Object

Zhang Shi-hui; Han De-wei; He Huan

doi:10.11999/JEIT150190

Volume 37 Issue 12

Jan. 2016

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Zhang Shi-hui, Han De-wei, He Huan. Determining Next Best View Using Occlusion and Contour Information of Visual Object[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2921-2928. doi: 10.11999/JEIT150190

Citation:

Zhang Shi-hui, Han De-wei, He Huan. Determining Next Best View Using Occlusion and Contour Information of Visual Object[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2921-2928. doi: 10.11999/JEIT150190

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Determining Next Best View Using Occlusion and Contour Information of Visual Object

doi: 10.11999/JEIT150190

1.
2.
(School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China)

Funds:

The National Natural Science Foundation of China (61379065)

Received Date: 2015-02-02
Rev Recd Date: 2015-08-19
Publish Date: 2015-12-19

Abstract

Abstract

Determining cameras 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.
- Depth image,
- Occlusion,
- Contour,
- Unknown regions,
- Triangulation-like,
- Next best view

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References(18)

References

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