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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:

EI Scopus

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 OpenInventor, 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. ©2008 IEEE.

Keyword:

Image processing Software design Three dimensional computer graphics Image reconstruction Industrial informatics Virtual reality Neural networks Backpropagation Computer aided design Application programming interfaces (API)

Author Community:

  • [ 1 ] [Sun, Guangmin]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Xu, Lei]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Chen, Deming]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Li, Gang]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 5 ] [Wang, Jing]Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China

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Source :

ISSN: 1935-4576

Year: 2008

Page: 1081-1085

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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