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author:

Chen, A.H. (Chen, A.H..) [1] | He, B.W. (He, B.W..) [2] | Gao, C.H. (Gao, C.H..) [3]

Indexed by:

Scopus

Abstract:

In this paper, the artificial compound eye vision system is used to develop an effective algorithm for acquiring 3D information of object. According to compound eye vision system constructed, the imaging principle and correlation between the object point and the imaging point is analyzed. Then the cross correlation matching algorithm is present to extract the depth and obtain the 3D information. The influence factors such as number of matched elemental images and matching window size are considered and analyzed. The experimental is implemented to verify the validity of the proposed method. © (2014) Trans Tech Publications, Switzerland.

Keyword:

Compound eye; Cross-correlation; Depth extracting; Three-dimensional information acquisition

Community:

  • [ 1 ] [Chen, A.H.]College of Mechanical Engineering and Automation, Fuzhou University, No.2 Xueyuan Road, Fuzhou, 350108, China
  • [ 2 ] [He, B.W.]College of Mechanical Engineering and Automation, Fuzhou University, No.2 Xueyuan Road, Fuzhou, 350108, China
  • [ 3 ] [Gao, C.H.]College of Mechanical Engineering and Automation, Fuzhou University, No.2 Xueyuan Road, Fuzhou, 350108, China

Reprint 's Address:

  • [Chen, A.H.]College of Mechanical Engineering and Automation, Fuzhou University, No.2 Xueyuan Road, China

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Source :

Applied Mechanics and Materials

ISSN: 1660-9336

Year: 2014

Volume: 678

Page: 290-294

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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