@inproceedings{f9ae2c0053964ec4a47d0ff0e81bad54,
title = "Skin colour based face detection",
abstract = "This paper describes a new approach to face detection. A colour input image is first processed using neural networks to detect skin regions in the image. Each neural network separates skin and non-skin pixels on the basis of chrominance information. The skin-colour classifier employs the committee machine technique, which improves skin colour detection by combining the classification results of a set of multilayer perceptrons (MLPs). The skin colour classifier achieves a classification rate of 84% compared to 81% for the best individual MLP classifier. The output of the committee machine is processed by a 2D smoothing filter before being converted into a binary map using a threshold. Finally, several post-processing techniques based on shape and luminance features are proposed for rejecting non-facial regions.",
author = "Phung, {Son Lam} and D. Chai and A. Bouzerdoum",
note = "Publisher Copyright: {\textcopyright} 2001 ARCME, Univ of WA.; 7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001 ; Conference date: 18-11-2001 Through 21-11-2001",
year = "2001",
doi = "10.1109/ANZIIS.2001.974071",
language = "English",
series = "ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "171--176",
booktitle = "ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference",
address = "United States",
}