Example-based learning for view-based human face detection
Sung, K.-K.
Poggio, T.
Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jan 1998
Volume: 20,
Issue: 1
On page(s): 39-51
ISSN: 0162-8828
References Cited: 19
CODEN: ITPIDJ
INSPEC Accession Number: 5852589
Digital Object Identifier: 10.1109/34.655648
Current Version Published: 2002-08-06
Abstract
We present an example-based learning approach for locating
vertical frontal views of human faces in complex scenes. The technique
models the distribution of human face patterns by means of a few
view-based “face” and “nonface” model clusters.
At each image location, a difference feature vector is computed between
the local image pattern and the distribution-based model. A trained
classifier determines, based on the difference feature vector
measurements, whether or not a human face exists at the current image
location. We show empirically that the distance metric we adopt for
computing difference feature vectors, and the “nonface”
clusters we include in our distribution-based model, are both critical
for the success of our system
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