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» Two Subspace Methods to Discriminate Faces and Clutters
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TCSV
2008
195views more  TCSV 2008»
13 years 7 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
ISCAS
2006
IEEE
154views Hardware» more  ISCAS 2006»
14 years 1 months ago
A novel Fisher discriminant for biometrics recognition: 2DPCA plus 2DFLD
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
R. M. Mutelo, Li Chin Khor, Wai Lok Woo, Satnam Si...
ECCV
2010
Springer
14 years 1 months ago
Face Liveness Detection from A Single Image with Sparse Low Rank Bilinear Discriminative Model
Spoofing with photograph or video is one of the most common manner to circumvent a face recognition system. In this paper, we present a real-time and non-intrusive method to addre...
ICPR
2008
IEEE
14 years 2 months ago
Face recognition based on LBP and orthogonal rank-one tensor projections
In this paper, a novel framework for face recognition based on discriminatively trained orthogonal rank-one tensor projections (ORO) and local binary pattern (LBP) is proposed. LB...
NuTao Tan, Lei Huang, Changping Liu
ACCV
2010
Springer
13 years 2 months ago
3D Object Recognition Based on Canonical Angles between Shape Subspaces
We propose a method to measure similarity of shape for 3D objects using 3-dimensional shape subspaces produced by the factorization method. We establish an index of shape similarit...
Yosuke Igarashi, Kazuhiro Fukui