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Author:

Sun, Guangmin (Sun, Guangmin.) (Scholars:孙光民) | Xu, Lei (Xu, Lei.) | Chen, Deming (Chen, Deming.) | Li, Gang (Li, Gang.) (Scholars:李港) | Wang, Jing (Wang, Jing.)

Indexed by:

CPCI-S

Abstract:

3D reconstruction has turned out to be a significant need in Computer Aided Design (CAD) technology. With the rapid development of virtual reality and industry design, more and more 3D models are required in practical needs. So an artificial neural network based system scheme is presented in this paper, which can be used in 3D object reconstruction from single 2D image. BP neural network (BP NN) is applied in our system due to its non-linear mapping and self-adaptive ability. The 3D objects are represented by Open Inventor, which is a 3D software development kit based on OpenGL. Experimental results show that neural network is a promising approach for reconstruction and representation of 3D objects.

Keyword:

Open Inventor 3D neural network image processing CAD 3D reconstruction

Author Community:

  • [ 1 ] [Sun, Guangmin]Beijing Univ Technol, Dept Elect Engn, Beijing 100022, Peoples R China
  • [ 2 ] [Xu, Lei]Beijing Univ Technol, Dept Elect Engn, Beijing 100022, Peoples R China
  • [ 3 ] [Chen, Deming]Beijing Univ Technol, Dept Elect Engn, Beijing 100022, Peoples R China
  • [ 4 ] [Li, Gang]Beijing Univ Technol, Dept Elect Engn, Beijing 100022, Peoples R China
  • [ 5 ] [Wang, Jing]Beijing Univ Technol, Dept Elect Engn, Beijing 100022, Peoples R China

Reprint Author's Address:

  • 孙光民

    [Sun, Guangmin]Beijing Univ Technol, Dept Elect Engn, Beijing 100022, Peoples R China

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Source :

2008 6TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1-3

ISSN: 1935-4576

Year: 2008

Page: 1043-1047

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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