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Proceedings Paper

An orthogonal subspace projection approach for face recognition
Author(s): Zhi Zhou; Yingzi Du; Chein-I Chang
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Paper Abstract

Face recognition has been widely used to automatically identify and verify a person. In this paper, we proposed a new approach based on orthogonal subspace projection (OSP) to identification of human faces. In linear mixture model of the face images, the OSP faces of the training images are calculated by using orthogonal subspace projection approach and the signal-to noise ratio maximization. And the weight parameter of the input image is obtained to do face recognition.

Paper Details

Date Published: 5 May 2009
PDF: 8 pages
Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510E (5 May 2009); doi: 10.1117/12.818037
Show Author Affiliations
Zhi Zhou, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Yingzi Du, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Chein-I Chang, Univ. of Maryland (United States)


Published in SPIE Proceedings Vol. 7351:
Mobile Multimedia/Image Processing, Security, and Applications 2009
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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