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» Improvement on PCA and 2DPCA Algorithms for Face Recognition
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ICCV
2011
IEEE
12 years 7 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...
FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
13 years 11 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
DICTA
2003
13 years 8 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
14 years 1 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...
BIOID
2008
258views Biometrics» more  BIOID 2008»
13 years 9 months ago
3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions
Abstract. This paper presents an evaluation of several 3D face recognizers on the Bosphorus database which was gathered for studies on expression and pose invariant face analysis. ...
Nese Alyüz, Berk Gökberk, Hamdi Dibeklio...