NDLI: An efficient wavelet/neural networks-based face detection algorithm

Content Provider	IEEE Xplore Digital Library
Author	Mohabbati, B. Kasaei, S.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Amirkabir Univ. of Technol., Tehran, Iran (Mohabbati, B.)
Abstract	In this paper, we proposed an efficient method to address the problem of face detection that is based on neural networks (NNs) and wavelet representation. We utilized a multilayer perceptron (MLP) so as to classify skin and non-skin pixels in the YCrCb color space. In this work, skin samples in images with varying lighting conditions are used to obtain a wide skin color distribution. The training data is generated from positive and negative training patterns in the Cb-Cr planes. Subsequently, training set is fed to an MLP, trained using the Levenberg-Marquardt algorithm using these skin samples. We apply the above mentioned NN-based skin classifier to the chrominance values corresponding to the coarsest level of the chrominance approximation subimages obtained from wavelet transform to classify the candidate face pixels. Furthermore, we have proposed a subspace approach in the space-frequency domain for the fast detection of face utilizing wavelet representation.
File Size	6996951
File Format	PDF
ISBN	0780391799
DOI	10.1109/CANET.2005.1598186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-26
Publisher Place	Kyrgyzstan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Face recognition Neural networks Humans Color Object detection Skin Face detection Detection algorithms Facial features
Content Type	Text
Resource Type	Article

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