An orthogonal subspace projection approach for face recognition

Zhi Zhou; Yingzi Du; Chein-I Chang

doi:10.1117/12.818037

4 May 2009 An orthogonal subspace projection approach for face recognition

Zhi Zhou, Yingzi Du, Chein-I Chang

Proceedings Volume 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009; 73510E (2009) https://doi.org/10.1117/12.818037
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Zhi Zhou, Yingzi Du, and Chein-I Chang "An orthogonal subspace projection approach for face recognition", Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510E (4 May 2009); https://doi.org/10.1117/12.818037

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available