Paper Available on Human Face Detection

[Shumeet Baluja]

Title:
Human Face Detection in Visual Scenes


By:
Henry Rowley, Shumeet Baluja & Takeo Kanade


Abstract:
We present a neural network-based face detection system.  A retinally
connected neural network examines small windows of an image, and
decides whether each window contains a face.  The system arbitrates
between multiple networks to improve performance over a single
network.  We use a bootstrapping algorithm for training the networks,
which adds false detections into the training set as training
progresses.  This eliminates the difficult task of manually selecting
non-face training examples, which must be chosen to accurately
represent the entire space of non-face images.  The system
out-performs other state-of-the-art face detection systems, in terms
of detection and false-positive rates.





Instructions (via WWW)
----------------------------------------------
PAPER (html & postscript) is available from both of these sites:
http://www.cs.cmu.edu/~baluja
http://www.cs.cmu.edu/~har


ON-LINE DEMO: 
http://www.ius.cs.cmu.edu/demos/facedemo.html


QUESTIONS and COMMENTS (please mail to both):
baluja at cs.cmu.edu & har at cs.cmu.edu