Determining Next Best View Using Occlusion and Contour Information of Visual Object
Zhang Shi-hui①② Han De-wei① He Huan①
①(School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China) ②(The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao 066004, China)
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.
张世辉,韩德伟,何欢. 利用视觉目标遮挡和轮廓信息确定下一最佳观测方位[J]. 电子与信息学报, 2015, 37(12): 2921-2928.
Zhang Shi-hui, Han De-wei, He Huan. Determining Next Best View Using Occlusion and Contour Information of Visual Object. JEIT, 2015, 37(12): 2921-2928.
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