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Proceedings Paper

An optimal tradeoff synthetic discriminant function filter-based still-to-video face verification system
Author(s): Chunyan Xie; S. Palanivel; B. Yegnanarayana; B. V. K. Vijaya Kumar
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Paper Abstract

Face image is an attractive biometric for person verification and identification because face images can be obtained non-intrusively, even without the knowledge of the subject in some cases. But in the case that the subject is non-cooperative (in the sense of providing a predefined view for testing), the still-to-still face verification method may have difficulty in matching face images from two different view angles. In this paper we propose a still-to-video face verification method based on the optimal tradeoff synthetic discriminant function (OTSDF) filter technology for the scenario where the video sequence of a subject is available for testing. The system consists of face detection and tracking component, frame level face matching component and the evidence accumulation component. We also investigate the part-based correlation method.

Paper Details

Date Published: 25 August 2004
PDF: 8 pages
Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); doi: 10.1117/12.542197
Show Author Affiliations
Chunyan Xie, Carnegie Mellon Univ. (United States)
S. Palanivel, Indian Institute of Technology, Madras (India)
B. Yegnanarayana, Indian Institute of Technology, Madras (India)
B. V. K. Vijaya Kumar, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 5404:
Biometric Technology for Human Identification
Anil K. Jain; Nalini K. Ratha, Editor(s)

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