A system scheme of 3D object reconstruction from single 2D graphics based on neural networks

Author

Sun, Guangmin ; Xu, Lei ; Chen, Deming ; Li, Gang ; Wang, Jing

Author_Institution

Dept. of Electron. Eng., Beijing Univ. of Technol., Beijing

fYear

2008

fDate

13-16 July 2008

Firstpage

1081

Lastpage

1085

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.

Keywords

CAD; backpropagation; computer graphics; image reconstruction; neural nets; software engineering; virtual reality; 3D object reconstruction; 3D software development; BP neural network; CAD; OpenGL; computer aided design; neural network based system scheme; nonlinear mapping; rapid development; self-adaptive ability; single 2D graphics; virtual reality; Artificial neural networks; Design automation; Design engineering; Flowcharts; Graphics; Image processing; Image reconstruction; Libraries; Neural networks; Rendering (computer graphics); 3D reconstruction; BP neural network; CAD; Open Inventor; image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on

Conference_Location

Daejeon

ISSN

1935-4576

Print_ISBN

978-1-4244-2170-1

Electronic_ISBN

1935-4576

Type

conf

DOI

10.1109/INDIN.2008.4618263

Filename

4618263