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25 August 2004 An optimal tradeoff synthetic discriminant function filter-based still-to-video face verification system
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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.
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Chunyan Xie, S. Palanivel, B. Yegnanarayana, and B. V. K. Vijaya Kumar "An optimal tradeoff synthetic discriminant function filter-based still-to-video face verification system", Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); https://doi.org/10.1117/12.542197
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