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Summary: CCECE 2003-CCGEI 2003, Montréal, May/mai 2003 -000-
0-7803-7781-8/03/$17.00/© 2003 IEEE
IMPACT OF POSE AND GLASSES ON FACE DETECTION USING THE
RED EYE EFFECT
Yednekachew Asfaw, Bryan Chen, Andy Adler
School of Information Technology and Engineering, University of Ottawa, Ontario, Canada
yednek@sympatico.ca, Bryan_chen7@yahoo.com, aadler@uottawa.ca
Abstract
In current image-processing algorithms for face
detection performance is not completely reliable,
especially in situations with variable lighting, and
with low-resolution images. One possible approach
to implement face detection is the use of the "red-
eye" effect: the reflection produced by human eyes
when exposed to co-axial infrared (IR) light. We
investigated the effectiveness of the red-eye technique
for variability in: skin tone, eye color, pose, angle of
IR illumination, scene illumination, and the effect of
shine from glasses. Algorithms were developed to
detect eye locations from a single IR image. Image
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