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» Feature Selection for Pose Invariant Face Recognition
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IVC
2006
187views more  IVC 2006»
14 years 9 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
CVPR
2005
IEEE
15 years 11 months ago
Fisher+Kernel Criterion for Discriminant Analysis
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an eff...
Shu Yang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Cha...
COMPSYSTECH
2009
14 years 7 months ago
A Bayesian approach to recognise facial expressions using vector flows
: Facial expressions play an important role in human nonverbal communication. They can be generated by activation and dilatation of facial muscles. In this paper we describe a syst...
Xiaofan Sun, Léon J. M. Rothkrantz, Dragos ...
ICCV
2011
IEEE
13 years 9 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter
IROS
2009
IEEE
304views Robotics» more  IROS 2009»
15 years 4 months ago
Real time tracking using an active pan-tilt-zoom network camera
— We present here a real time active vision system on a PTZ network camera to track an object of interest. We address two critical issues in this paper. One is the control of the...
Thang Ba Dinh, Qian Yu, Gérard G. Medioni