A receptive field based approach for face detection

Authors:
Bruno J. T. Fernandes;George D. C. Cavalcanti;Tsang I. Ren
Affiliations:
Informatics Center at the Federal University of Pernambuco and Academic Unit of Serra Talhada at the Rural Federal University of Pernambuco, Brazil;Informatics Center at the Federal University of Pernambuco, Brazil;Informatics Center at the Federal University of Pernambuco, Brazil
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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Abstract

This paper presents a new neural network to perform the visual pattern classification task. The neural network is called I-PyraNet which is a hybrid implementation of the PyraNet and the concepts of the inhibitory fields. In order to improve the results obtained by this neural network, it is also presented the 2-D Gabor filter. Furthermore, both, the neural network and the filter, are applied over a face detection task and are compared to the results obtained by a SVM.