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Author:

Ge, Yun (Ge, Yun.) | Sun, Yanfeng (Sun, Yanfeng.) (Scholars:孙艳丰) | Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才) | Tang, Hengliang (Tang, Hengliang.)

Indexed by:

EI Scopus

Abstract:

In this paper, we present a method to generate novel realistic 3D face model using a model trained from real 3D face data. 3D face samples are an important data platform for model training, algorithm design. Subject to the constraint of acquisition technology, sizes of current 3D face databases are relatively small and insufficient. The presented method is used to solve this problem. First real 3D face data are collected as training sample and a parametric global model is learned based on them. Then a local model is established based on surface quilting. We use the global model to build a novel coarse face model. Then, we condition the local model with the global model. With appropriate choices of local and global models it is possible to reliably generate novel realistic 3D face data that do not correspond to any individual in the training data. Finally we apply our model to face recognition to examine the meaning of our work. © 2011 ACADEMY PUBLISHER.

Keyword:

Technology transfer Face recognition 3D modeling Three dimensional computer graphics Textures

Author Community:

  • [ 1 ] [Ge, Yun]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Sun, Yanfeng]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Yin, Baocai]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 4 ] [Tang, Hengliang]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China

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Source :

Journal of Multimedia

ISSN: 1796-2048

Year: 2011

Issue: 5

Volume: 6

Page: 467-475

ESI Discipline: COMPUTER SCIENCE;

Cited Count:

WoS CC Cited Count: 0

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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