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» Support Vector Machines in Face Recognition with Occlusions
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ICMCS
2008
IEEE
134views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Face recognition by SVMS classification of 2D and 3D Radial Geodesics
An original approach to represent 2D and 3D faces using Radial Geodesic Distances (RGDs) is proposed in this work. In 3D, the RGD of a generic point of the face surface is compute...
Stefano Berretti, Alberto Del Bimbo, Pietro Pala, ...
ML
2002
ACM
121views Machine Learning» more  ML 2002»
13 years 7 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
ICCV
2007
IEEE
14 years 9 months ago
A Study of Face Recognition as People Age
In this paper we study face recognition across ages within a real passport photo verification task. First, we propose using the gradient orientation pyramid for this task. Discard...
Haibin Ling, Stefano Soatto, Narayanan Ramanathan,...
IVC
2006
175views more  IVC 2006»
13 years 7 months ago
Face recognition using optimal linear components of range images
This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...
Anuj Srivastava, Xiuwen Liu, Curt Hesher
CVPR
2003
IEEE
14 years 9 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer