Non-Linear Fusion of Local Matching Scores for Face Verification

Zhou, Ziheng and Chindaro, S. and Deravi, F. (2008) Non-Linear Fusion of Local Matching Scores for Face Verification. In: 8th IEEE International Conference on Automatic Face and Gesture Recognition, 17-19th September 2008, Amsterdam, The Netherlands. (The full text of this publication is not available from this repository)

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Abstract

This paper presents a face verification framework for fusing matching scores that measure similarities of local facial features. The framework is aimed to handle an open-set verification scenario when users who try to enroll can be unknown to the system at the training phase. The kernel discriminant analysis is adopted within the framework to explore the discriminatory information of local matching scores in a high dimensionedal non-linear space. A large sample size problem is raised for system training and an effective stretegy is provided for tackling this problem. We demonstrate the framework by fusing the scores calculated using local binary pattern features. The experimental results show that our method improves the verification performance significantly when compared to a number of competitive techniques.

Item Type: Conference or workshop item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1650 Facial Recognition systems
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 21 Apr 2009 10:54
Last Modified: 21 Apr 2009 10:54
Resource URI: http://kar.kent.ac.uk/id/eprint/17873 (The current URI for this page, for reference purposes)
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