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ICCV
2001
IEEE
14 years 10 months ago
Face Recognition with Support Vector Machines: Global versus Component-based Approach
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
Bernd Heisele, Purdy Ho, Tomaso Poggio
CRV
2006
IEEE
242views Robotics» more  CRV 2006»
14 years 2 months ago
User Authentication based on Face Recognition with Support Vector Machines
The present paper proposes an authentication scheme which relies on face biometrics and one-class Support Vector Machines. The proposed recognition procedures are based on both a ...
Paolo Abeni, Madalina Baltatu, Rosalia D'Alessandr...
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 10 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
ICIP
2000
IEEE
14 years 10 months ago
LIP Contour Extraction Using a Deformable Model
The use of visual information from lip movements can improve the accuracy and robustness of a speech recognition system. Accurate extraction of visual features associated with the...
Alan Wee-Chung Liew, Shu Hung Leung, Wing Hong Lau
CVPR
2008
IEEE
14 years 3 months ago
Action recognition with motion-appearance vocabulary forest
In this paper we propose an approach for action recognition based on a vocabulary forest of local motionappearance features. Large numbers of features with associated motion vecto...
Krystian Mikolajczyk, Hirofumi Uemura