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» Face Recognition Based on Discriminative Manifold Learning
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WACV
2008
IEEE
15 years 4 months ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 4 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
CVPR
2005
IEEE
15 years 11 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....
86
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FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
14 years 1 months ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
FGR
2008
IEEE
219views Biometrics» more  FGR 2008»
15 years 4 months ago
2D-3D face matching using CCA
In recent years, 3D face recognition has obtained much attention. Using 2D face image as probe and 3D face data as gallery is an alternative method to deal with computation comple...
Weilong Yang, Dong Yi, Zhen Lei, Jitao Sang, Stan ...