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 Independent Component Representations for Face Recognition
Keywords: Independent component analysis, ICA, principal component analysis, PCA, face recognition. 1. INTRODUCTION Several advances in face recognition such as "H~lons,~ " "Eigenfa~es,~ " and "Local Feature Analysis4" have employed forms of principal component analysis, which addresses only second-order moments of the input. Principal component...
Face recognition using Principal Component Analysis
Facial recognition can be done by various methods such as principal component analysis (PCA), linear discriminant analysis (LDA), independent component analysis (ICA), a local binary pattern ...
ICA Face Recognition Matlab code - YouTube
A number of face recognition algorithms employ principal component analysis (PCA), which is based on the second-order statistics of the image set, and does not address high-order statistical ...
A Case for the Average-Half-Face in 2D and 3D for Face ...
3. Face Recognition Algorithms We will briefly discuss each of the 6 face recognition methods used in our experiments. 3.1. Eigenfaces Eigenfaces was introduced early [15] on as powerful use of principal components analysis (PCA) to solve problems in face recognition and detection. Eigenfaces is a subspace...
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