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Face Recognition using Independent Component Analysis ...
Principal Component Analysis is used for the Face Recognition System [13]. This research used a version of PCA for facial images in FERET database where input picture is treated as random ...
(PDF) Edges are the `Independent Components' of Natural ...
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 ...
 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...
Evaluation of the independent component analysis algorithm ...
Keywords: Face recognition, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Yale face database. 1. INTRODUCTION Face Recognition is the process of identifying or recognizing a particular familiar face from a group of known or unknown faces....
Subspace Based Object Recognition Using Support Vector ...
analysis of independent component analysis and principal component analysis (PCA) is also given for each experiment. 1-INTRODUCTION Object recognition, which is an easy task for a human observer, has long been the focus of much research in Computer Vision, forming an essential component of many machine-based object recognition systems. A large ......
Face Recognition for Beginners. Face Recognition is a ...
There are many statistical tools, which used for face recognition. These analytical tools used in a two or more groups or classification methods. These tools are as follows-4.2.1.Principal Component Analysis [PCA]:-One of the most used and cited statistical method is the Principal Component Analysis.
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