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2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK)

Wuhan,China,2012-12-142012-12-162012

ISBN: 978-1-61896-036-8 Scientific Research Publishing

E-Book 275pp Pub. Date: December 2012

Category: Computer Science & Communications

Price: $100

Title: 3D Face Recognition under the Framework of Sparse Representation
Source: 2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK) (pp 64-67)
Author(s): Daoqing Sheng, Department of Electronics and Information Systems,Akita Prefectural University,Yurihonjo City, Akita, Japan
Hua Cheng, Department of Electronic Information Engineering,Wuhan University of Science and Technology,Wuhan City, Hubei Province, China
Abstract: 3D face recognition has been an active research area and is attracting more and more attention in recent years. In this paper, a novel 3D face recognition method is proposed. Under the framework of sparse representation, the recognition problem is transformed to solve the problem of minimization L0-norm. Three types of facial geometrical features are extracted to describe 3D faces. According to the extracted features, 3D face recognition is performed by applying to the ranking strategy of Fisher linear discriminant analysis. The experiments employed BJUT-3D datasets demonstrate the effectiveness of the proposed method.
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