@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},
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 }
}
::