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JCP
2008
167views more  JCP 2008»
14 years 9 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»
14 years 7 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
BIOID
2008
157views Biometrics» more  BIOID 2008»
14 years 11 months ago
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction
Abstract. Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data th...
Daniel González-Jiménez, José...
CVPR
2007
IEEE
15 years 11 months ago
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
MICAI
2000
Springer
15 years 1 months ago
Eigenfaces Versus Eigeneyes: First Steps Toward Performance Assessment of Representations for Face Recognition
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
Teófilo Emídio de Campos, Rogé...