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Author:

Wang, Cheng-Zhang (Wang, Cheng-Zhang.) | Shi, Qin (Shi, Qin.) | Sun, Yan-Feng (Sun, Yan-Feng.) (Scholars:孙艳丰) | Yin, Bao-Cai (Yin, Bao-Cai.) (Scholars:尹宝才)

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EI Scopus PKU CSCD

Abstract:

A novel method based on texture mapping was presented to improve texture of 3D face database. Curve fitting and linear regression were used to fit and approximate to the realistic texture space based on texture space of 3D face database. According to the improved texture space, the texture mapping rule was established. Then the texture mapping rule was used to improve the texture of 3D face database and to reduce difference between texture and realistic texture of 3D face database. Experimental results prove that difference between the improved texture space and realistic texture space is smaller than that between texture space and realistic texture space of 3D face database. When the improved texture is used in process of model matching, the speed of model matching gets faster with shorter time-consuming.

Keyword:

Database systems Mapping Textures Curve fitting

Author Community:

  • [ 1 ] [Wang, Cheng-Zhang]Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Shi, Qin]Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Sun, Yan-Feng]Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Yin, Bao-Cai]Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2006

Issue: 3

Volume: 32

Page: 246-251

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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