@inproceedings{Beveridge2006,
	title = {A comparison of pixel, edge and wavelet features for face detection
	using a semi-naive bayesian classifier},
	author = {J. Ross Beveridge and Jilmil Saraf and Ben Randall},
	booktitle = {International Conference on Pattern Recognition},
	pages = {1175--1178},
	url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1699735},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2d720a6acf4dbb0067004e7452c96c0cf/marcoalvarez},
	abstract = {Henry Schneiderman at Carnegie Mellon University developed a face
	detection algorithm based upon a semi-naive Bayesian classifier and
	5/3 linear phase wavelets. This paper explores the relative value
	of these wavelet features compared to simpler pixel and edge features.
	Experiments suggest edge features are superior for highly controlled
	lighting, while pixel features are better and more stable for uncontrolled
	lighting. Tests use the Notre Dame face data collected in Fall 2003
	and Spring 2004 and use over 400,000 face and non-face test image
	chips.},
	keywords = {Bayes ObjectDetection }
}