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10852 Investigating the boosting framework for face recognition
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Boom, B.J. and van Rootseler, R.T.A. and Veldhuis, R.N.J. (2007) Investigating the boosting framework for face recognition. In: Proceedings of the 28th Symposium on Information Theory in the Benelux, 24-25 May 2007, Enschede, The Netherlands. pp. 189-196. Werkgemeenschap voor Informatie- en Communicatietechniek. ISBN 978-90-365-2509-1

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Abstract

The boosting framework has shown good performance in face recognition. By combining a set of features with Adaboost, a similarity function is developed which determines if a pair of face images belongs to the same person or not. Recently, many features have been used in combination with Adaboost, achieving good results on the FERET database. In this paper we compare the results of several features on the same database and discuss our solutions on some of the
open issues in this method. We compare the boosting framework with some standard algorithms and test the boosting algorithm under difficult circumstances,
like illumination and registration noise.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-SAS: Signals and Systems
Research Program:CTIT-ISTRICE: Integrated Security and Privacy in a Networked World
Research Project:BRICKS/PDC1: Security, Identification and Authentication
ID Code:10852
Status:Published
Deposited On:23 August 2007
Refereed:No
International:No
More Information:statisticsmetis

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