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Face Recognition and Semantic Features

Face Recognition and Semantic Features

Huiyu Zhou, Yuan Yuan, Chunmei Shi
Copyright: © 2009 |Pages: 19
ISBN13: 9781605661889|ISBN10: 1605661880|ISBN13 Softcover: 9781616926021|EISBN13: 9781605661896
DOI: 10.4018/978-1-60566-188-9.ch003
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MLA

Zhou, Huiyu, et al. "Face Recognition and Semantic Features." Semantic Mining Technologies for Multimedia Databases, edited by Dacheng Tao, et al., IGI Global, 2009, pp. 80-98. https://doi.org/10.4018/978-1-60566-188-9.ch003

APA

Zhou, H., Yuan, Y., & Shi, C. (2009). Face Recognition and Semantic Features. In D. Tao, D. Xu, & X. Li (Eds.), Semantic Mining Technologies for Multimedia Databases (pp. 80-98). IGI Global. https://doi.org/10.4018/978-1-60566-188-9.ch003

Chicago

Zhou, Huiyu, Yuan Yuan, and Chunmei Shi. "Face Recognition and Semantic Features." In Semantic Mining Technologies for Multimedia Databases, edited by Dacheng Tao, Dong Xu, and Xuelong Li, 80-98. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-188-9.ch003

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Abstract

The authors present a face recognition scheme based on semantic features’ extraction from faces and tensor subspace analysis. These semantic features consist of eyes and mouth, plus the region outlined by three weight centres of the edges of these features. The extracted features are compared over images in tensor subspace domain. Singular value decomposition is used to solve the eigenvalue problem and to project the geometrical properties to the face manifold. They compare the performance of the proposed scheme with that of other established techniques, where the results demonstrate the superiority of the proposed method.

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