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» Local Feature Based 3D Face Recognition
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CVPR
2005
IEEE
16 years 6 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
ICB
2009
Springer
188views Biometrics» more  ICB 2009»
15 years 11 months ago
Pixelwise Local Binary Pattern Models of Faces Using Kernel Density Estimation
Local Binary Pattern (LBP) histograms have attained much attention in face image analysis. They have been successfully used in face detection, recognition, verification, facial ex...
Timo Ahonen, Matti Pietikäinen
AUSAI
2005
Springer
15 years 10 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee

Publication
209views
14 years 6 months ago
A Review of Facial Feature Detection Algorithms
Facial feature localization is an important task in numerous applications of face image analysis that include face recognition and verification, facial expression recognition, dr...
Stylianos Asteriadis, Nikos Nikolaidis, Ioannis Pi...
IWANN
2005
Springer
15 years 10 months ago
Face Recognition System Based on PCA and Feedforward Neural Networks
Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this pape...
Alaa Eleyan, Hasan Demirel