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author:

Ding, H. (Ding, H..) [1] | He, B. (He, B..) [2] | Zhou, X. (Zhou, X..) [3]

Indexed by:

Scopus

Abstract:

In this paper, a new planning approach for automatic reconstruction of unknown 3D objects with occlusion is proposed. During reconstruction process, the contour of occlusion is predicted reasonably firstly. Secondly, the optimal spatial position of the vision system would be determined where the vision system can obtain the maximum visible area. Finally, the reconstruction processes of the real objects are experimented to validate the feasibility of the proposed method. © 2010 IEEE.

Keyword:

3D reconstruction; Computer vision; Occlusion; Sensor planning

Community:

  • [ 1 ] [Ding, H.]Department of Mechatronics Engineering, School of Mechanical Engineering, Fuzhou University, Fuzhou, Fujian Province, China
  • [ 2 ] [He, B.]Department of Mechatronics Engineering, School of Mechanical Engineering, Fuzhou University, Fuzhou, Fujian Province, China
  • [ 3 ] [Zhou, X.]Department of Mechatronics Engineering, School of Mechanical Engineering, Fuzhou University, Fuzhou, Fujian Province, China

Reprint 's Address:

  • [Ding, H.]Department of Mechatronics Engineering, School of Mechanical Engineering, Fuzhou University, Fuzhou, Fujian Province, China

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Source :

Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010

Year: 2010

Volume: 1

Page: 463-467

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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