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» Diagonal principal component analysis for face recognition
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MCS
2007
Springer
14 years 1 months ago
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
Ángel Serrano, Isaac Martín de Diego...
CVPR
1999
IEEE
14 years 9 months ago
Simultaneous Extraction of Functional Face Subspaces
Facial variation divides into a number of functional subspaces. An improved method of measuring these was designed, within the space defined by an Appearance Model. Initial estima...
Nicholas Costen, Timothy F. Cootes, Gareth J. Edwa...
GLVLSI
2003
IEEE
202views VLSI» more  GLVLSI 2003»
14 years 27 days ago
System level design of real time face recognition architecture based on composite PCA
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Rajkiran Gottumukkal, Vijayan K. Asari
DICTA
2003
13 years 9 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