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AVBPA
1997
Springer

Face Detection by Direct Convexity Estimation

13 years 8 months ago
Face Detection by Direct Convexity Estimation
We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the regions of the eyes and hair in a facial image, and thus allows us to infer the face location and scale. Our operator is robust to variations in illumination, scale, and face orientation. Invariance to a large family of functions, serving for lighting improvement in images, is proved. An extensive comparison with edgebased methods is delineated.
Ariel Tankus, Hezy Yeshurun, Nathan Intrator
Added 07 Aug 2010
Updated 07 Aug 2010
Type Conference
Year 1997
Where AVBPA
Authors Ariel Tankus, Hezy Yeshurun, Nathan Intrator
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