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JCP
2008
167views more  JCP 2008»
14 years 10 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
AVSS
2009
IEEE
14 years 7 months ago
3D Face Recognition Using Multiview Keypoint Matching
A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate eac...
Michael Mayo, Edmond Zhang
FGR
2000
IEEE
211views Biometrics» more  FGR 2000»
15 years 2 months ago
Recognizing Lower Face Action Units for Facial Expression Analysis
Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions (e.g. happiness and anger). Such prototypic expressions, however, occur infre...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
PR
2007
148views more  PR 2007»
14 years 9 months ago
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on twostage subset selection where the first stage finds the informative regions and the second stage ...
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun,...
CVPR
2006
IEEE
16 years 18 hour ago
Optimal Pose for Face Recognition
Researchers in psychology have well studied the impact of the pose of a face as perceived by humans, and concluded that the so-called 3/4 view, halfway between the front view and ...
Xiaoming Liu 0002, Jens Rittscher, Tsuhan Chen