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author:

He, B. (He, B..) [1] | Lin, D. (Lin, D..) [2] | Chen, Z. (Chen, Z..) [3] | Ding, H. (Ding, H..) [4]

Indexed by:

Scopus PKU CSCD

Abstract:

How to solve the occlusion problem effectively is a difficult subject during the progress of acquiring unknown object's three-dimensional (3D) digital model. So a new view planning which can cope with occlusion correctly is proposed. The reconstruction progress is divided into two steps: 360°side surface reconstruction and upper surface reconstruction. Firstly, the contour predictable model of the occlusion is acquired and the position coping with the occlusion information is obtained with the visible region. Secondly, after the completion of side surface reconstruction, the visible criterion of the boundaries of the upper surface of the object is predicted and the best turnover angle of the vision system is defined where the vision system can acquire the maximal information of the upper surface. And then, the normal vector of the line connecting the occlusion boundary points is calculated, based on which a planning scheme to solve the occlusion is proposed. Finally, the experimental result of reconstructing the 3D real model shows that the method is feasible in practical implementation.

Keyword:

Computer vision; Machine vision; Occlusion; Three-dimensional reconstruction; View planning

Community:

  • [ 1 ] [He, B.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, China
  • [ 2 ] [He, B.]State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
  • [ 3 ] [Lin, D.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, China
  • [ 4 ] [Chen, Z.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, China
  • [ 5 ] [Ding, H.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, China

Reprint 's Address:

  • [He, B.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, China

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Source :

Chinese Journal of Lasers

ISSN: 0258-7025

Year: 2011

Issue: 7

Volume: 38

1 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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