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» Meta-Analysis of Face Recognition Algorithms
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FGR
2004
IEEE
118views Biometrics» more  FGR 2004»
14 years 1 months ago
Components for Face Recognition
We present a method for automatically learning a set of discriminatory facial components for face recognition. The algorithm performs an iterative growing of components starting w...
Bernd Heisele, Takamasa Koshizen
CVPR
2010
IEEE
14 years 3 months ago
3D Morphable Model Construction for Robust Ear and Face Recognition
Recent work suggests that the human ear varies significantly between different subjects and can be used for identification. In principle, therefore, using ears in addition to the f...
John D. Bustard, Mark S. Nixon
PR
2008
87views more  PR 2008»
13 years 10 months ago
Two-dimensional Laplacianfaces method for face recognition
In this paper we propose a two-dimensional (2D) Laplacianfaces method for face recognition. The new algorithm is developed based on two techniques, i.e., locality preserved embedd...
Ben Niu, Qiang Yang, Simon Chi-Keung Shiu, Sankar ...
CVPR
2005
IEEE
15 years 6 hour 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....
ICIAR
2010
Springer
14 years 2 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic