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ICCV
2011
IEEE
13 years 12 months ago
Maximizing All Margins: Pushing Face Recognition with Kernel Plurality
We present two theses in this paper: First, performance of most existing face recognition algorithms improves if instead of the whole image, smaller patches are individually class...
Ritwik Kumar, Arunava Banerjee, CISE, Univ, Baba V...
CVPR
2010
IEEE
15 years 8 months ago
Morphable Reflectance Fields for Enhancing Face Recognition
In this paper, we present a novel framework to address the confounding effects of illumination variation in face recognition. By augmenting the gallery set with realistically re...
Ritwik Kumar, Michael Jones, Tim Marks
ICIP
2007
IEEE
15 years 6 months ago
Face Recognition using a Fast Model Synthesis from a Profile and a Frontal View
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
Antonio Rama, Francesc Tarres
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
15 years 5 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
16 years 1 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