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» Resampling for Face Recognition
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99
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CVPR
2005
IEEE
16 years 2 months ago
Nonparametric Subspace Analysis for Face Recognition
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang
159
Voted
IBPRIA
2011
Springer
14 years 4 months ago
The Fast and the Flexible: Extended Pseudo Two-Dimensional Warping for Face Recognition
Abstract. In this work, we propose a novel extension of pseudo 2D image warping (P2DW) which allows for joint alignment and recognition of non-rectified face images. P2DW allows f...
Leonid Pishchulin, Tobias Gass, Philippe Dreuw, He...
PR
2010
141views more  PR 2010»
14 years 7 months ago
On the vulnerability of face verification systems to hill-climbing attacks
In this paper, we use a hill-climbing attack algorithm based on Bayesian adaption to test the vulnerability of two face recognition systems to indirect attacks. The attacking tech...
Javier Galbally, Chris McCool, Julian Fiérr...
IVC
2006
129views more  IVC 2006»
15 years 20 days ago
Measuring the performance of face localization systems
The purpose of Face localization is to determine the coordinates of a face in a given image. It is a fundamental research area in computer vision because it serves, as a necessary...
Yann Rodriguez, Fabien Cardinaux, Samy Bengio, Joh...
105
Voted
CVPR
2003
IEEE
16 years 2 months ago
Face Recognition in Hyperspectral Images
Hyperspectral cameras provide useful discriminants for human face recognition that cannot be obtained by other imaging methods. We examine the utility of using near-infrared hypers...
Zhihong Pan, Glenn Healey, Manish Prasad, Bruce J....