Sciweavers

42 search results - page 1 / 9
» Face Recognition with Support Vector Machines: Global versus...
Sort
View
ICCV
2001
IEEE
14 years 5 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»
13 years 9 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...
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
14 years 11 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
ICPR
2004
IEEE
14 years 4 months ago
Support Vector Machine with Local Summation Kernel for Robust Face Recognition
This paper presents Support Vector Machine (SVM) with local summation kernel for robust face recognition. In recent years, the effectiveness of SVM and local features is reported....
Kazuhiro Hotta
FGR
2008
IEEE
240views Biometrics» more  FGR 2008»
13 years 10 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