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Example-based face detection using independent component analysis and RBF network

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2 Author(s)
Mikami, T. ; Tomakomai Coll. of Technol., Japan ; Wada, M.

This paper describes example-based face detection from images involving complex background using ICA-based feature extraction and RDF recognizer. One of the difficult problems for example-based face detection is to estimate the lower-dimensional subspaces without reducing the discriminative features. For face recognition, ICA is a better tool to represent face images as a few components as possible. We used RBF neural network to distinguish faces and non-faces and evaluated its performance as discriminative properties using ICA.

Published in:

SICE 2003 Annual Conference  (Volume:3 )

Date of Conference:

4-6 Aug. 2003

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