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» Efficient Privacy-Preserving Face Recognition
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CORR
2008
Springer
165views Education» more  CORR 2008»
13 years 7 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
PR
2008
146views more  PR 2008»
13 years 7 months ago
Integration of local and global geometrical cues for 3D face recognition
We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. The representation integrates local and global geometrical cues in a single compa...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...
JCP
2008
167views more  JCP 2008»
13 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
ICB
2009
Springer
158views Biometrics» more  ICB 2009»
13 years 5 months ago
3D Face Recognition Using Joint Differential Invariants
Stemming from a sound mathematical framework dating back to the beginning of the 20th century, this paper introduces a novel approach for 3D face recognition. The proposed techniqu...
Marinella Cadoni, Manuele Bicego, Enrico Grosso
FGR
2004
IEEE
159views Biometrics» more  FGR 2004»
13 years 11 months ago
Null Space-based Kernel Fisher Discriminant Analysis for Face Recognition
The null space-based LDA takes full advantage of the null space while the other methods remove the null space. It proves to be optimal in performance. From the theoretical analysi...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan