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» Face Authentication Using One-Class Support Vector Machines
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ICIAP
2003
ACM
14 years 21 days ago
PCA vs low resolution images in face verification
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
Cristina Conde, Antonio Ruiz, Enrique Cabello
FGR
2008
IEEE
358views Biometrics» more  FGR 2008»
14 years 1 months ago
Automatic 3D face reconstruction from single images or video
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combin...
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard S...
ICPR
2010
IEEE
13 years 7 months ago
Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
Hatice Çinar Akakin, Bülent Sankur
ICCV
2007
IEEE
14 years 9 months ago
A Study of Face Recognition as People Age
In this paper we study face recognition across ages within a real passport photo verification task. First, we propose using the gradient orientation pyramid for this task. Discard...
Haibin Ling, Stefano Soatto, Narayanan Ramanathan,...
IDEAL
2007
Springer
14 years 1 months ago
Influence of Wavelet Frequency and Orientation in an SVM-Based Parallel Gabor PCA Face Verification System
We present a face verification system using Parallel Gabor Principal Component Analysis (PGPCA) and fusion of Support Vector Machines (SVM) scores. The algorithm has been tested on...
Ángel Serrano, Isaac Martín de Diego...