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» Using Component Features for Face Recognition
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ICIP
2007
IEEE
15 years 8 months ago
Face Recognition using a Fast Model Synthesis from a Profile and a Frontal View
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
Antonio Rama, Francesc Tarres
PAMI
2011
14 years 9 months ago
Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces
— This paper proposes a novel method for recognizing faces degraded by blur using deblurring of facial images. The main issue is how to infer a Point Spread Function (PSF) repres...
Masashi Nishiyama, Abdenour Hadid, Hidenori Takesh...
FGR
2008
IEEE
285views Biometrics» more  FGR 2008»
15 years 9 months ago
Component-based registration with curvature descriptors for expression insensitive 3d face recognition
Deformations caused by facial expression variations complicate the task of 3D face registration which is vital for successful 3D face recognition systems. In this work, we propose...
Nese Alyüz, Berk Gökberk, Hamdi Dibeklio...
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
FGR
2008
IEEE
111views Biometrics» more  FGR 2008»
15 years 9 months ago
Reducing the other-race effect through caricatures
We recognize faces from our own race better than those from another race. Although the relative contribution of different mechanisms (e.g. contact vs. attention) remains elusive, ...
Jobany Rodriguez, Heather Bortfeld, Ricardo Gutier...