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ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Improved face finding in visually challenging environments
Finding faces in visually challenging environments is crucial to many applications, such as audio-visual automatic speech recognition, video indexing, person recognition, and vide...
Jintao Jiang, Gerasimos Potamianos, Giridharan Iye...
CVPR
2005
IEEE
15 years 1 days 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
IVC
2006
129views more  IVC 2006»
13 years 10 months 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...
CVPR
2003
IEEE
15 years 1 days 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....
ICIP
2004
IEEE
14 years 11 months ago
Separating useful from useless image variation for face recognition
For a general purpose face recognition system one of the largest challenge is to separate useful identity related from useless variations in the image data due to nuisance variabl...
Peter Kalocsai