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CVPR
2005
IEEE
14 years 7 months ago
Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
Fernando De la Torre, Ralph Gross, Simon Baker, B....
CVPR
2008
IEEE
14 years 7 months ago
Robust tensor factorization using R1 norm
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
Heng Huang, Chris H. Q. Ding
CORR
2006
Springer
242views Education» more  CORR 2006»
13 years 5 months ago
Matching Edges in Images ; Application to Face Recognition
: This communication describes a representation of images as a set of edges characterized by their position and orientation. This representation allows the comparison of two images...
Joël Le Roux, Philippe Chaurand, Mickael Urru...
PR
2008
146views more  PR 2008»
13 years 5 months ago
Integration of local and global geometrical cues for 3D face recognition
We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. The representation integrates local and global geometrical cues in a single compa...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...
AMFG
2007
IEEE
283views Biometrics» more  AMFG 2007»
13 years 9 months ago
Learning Personal Specific Facial Dynamics for Face Recognition from Videos
In this paper, we present an effective approach for spatiotemporal face recognition from videos using an Extended set of Volume LBP (Local Binary Pattern features) and a boosting s...
Abdenour Hadid, Matti Pietikäinen, Stan Z. Li