Investigating the boosting framework for face recognition


Boom, Bas and Rootseler, Robin van and Veldhuis, Raymond (2007) Investigating the boosting framework for face recognition. In: 28th Symposium on Information Theory in the Benelux, 24-25 May 2007, Enschede, The Netherlands (pp. pp. 189-196).

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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 Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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