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» Support Vector Machines for 3D Object Recognition
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109
Voted
FGR
2008
IEEE
240views Biometrics» more  FGR 2008»
15 years 7 months ago
Face recognition and alignment using support vector machines
Face recognition in the presence of pose changes remains a largely unsolved problem. Severe pose changes, resulting in dramatically different appearances, is one of the main difï¬...
Antony Lam, Christian R. Shelton
124
Voted
CVPR
2004
IEEE
16 years 2 months ago
Fast, Integrated Person Tracking and Activity Recognition with Plan-View Templates from a Single Stereo Camera
Copyright 2004 IEEE. Published in Conference on Computer Vision and Pattern Recognition (CVPR-2004), June 27 - July 2, 2004, Washington DC. Personal use of this material is permit...
Michael Harville, Dalong Li
98
Voted
ICCV
2001
IEEE
16 years 2 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
158
Voted
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
108
Voted
EUROMICRO
2003
IEEE
15 years 6 months ago
Color Texture Recognition in Video Sequences using Wavelet Covariance Features and Support Vector Machines
This paper pertains to the recognition of textural regions for color video analysis. The proposed scheme uses the covariance of 2nd -order statistics on the wavelet domain, betwee...
Dimitrios K. Iakovidis, Dimitrios E. Maroulis, S. ...