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» Face recognition using curvelet based PCA
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AVSS
2006
IEEE
15 years 3 months ago
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
Chris McCool, Jamie Cook, Vinod Chandran, Sridha S...
ACII
2005
Springer
15 years 3 months ago
Facial Expression Recognition Using HLAC Features and WPCA
This paper proposes a new facial expression recognition method which combines Higher Order Local Autocorrelation (HLAC) features with Weighted PCA. HLAC features are computed at ea...
Fang Liu, Zhiliang Wang, Li Wang, Xiuyan Meng
ICIAP
2005
ACM
15 years 9 months ago
Robust Face Recognition Based on Part-Based Localized Basis Images
In order for a subspace projection based method to be robust to local distortion and partial occlusion, the basis images generated by the method should exhibit a part-based local r...
Jongsun Kim, Juneho Yi
ICMCS
2006
IEEE
165views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Partial LDA vs Partial PCA
Recently, 3D face recognition algorithms have outperformed 2D conventional approaches by adding depth data to the problem. However, independently of the nature (2D or 3D) of the a...
Antonio Rama, Francesc Tarres
100
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AVBPA
2005
Springer
271views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Dynamic Approach for Face Recognition Using Digital Image Skin Correlation
With the recent emphasis on homeland security, there is an increased interest in accurate and non-invasive techniques for face recognition. Most of the current techniques perform a...
Satprem Pamudurthy, E. Guan, Klaus Mueller, Miriam...