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» Component-based Face Detection
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94
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ISBI
2008
IEEE
16 years 1 months ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith
114
Voted
FGR
2006
IEEE
173views Biometrics» more  FGR 2006»
15 years 6 months ago
Facial Feature Detection and Tracking with Automatic Template Selection
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The...
David Cristinacce, Timothy F. Cootes
IVC
2008
147views more  IVC 2008»
15 years 23 days ago
Distinctive and compact features
We consider the problem of extracting features for multi-class recognition problems. The features are required to make fine distinction between similar classes, combined with tole...
Ayelet Akselrod-Ballin, Shimon Ullman
111
Voted
WACV
2002
IEEE
15 years 5 months ago
Active Facial Tracking for Fatigue Detection
The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the pr...
Haisong Gu, Qiang Ji, Zhiwei Zhu
CVPR
2005
IEEE
16 years 2 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas