Experimenting on weighted PCA on Yale face database

Experimenting on weighted PCA on Yale face database

The main idea is to find the principal components of the distribution of faces or the eigenvectors of the covariance matrix of the set of training images.

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Bibliographic Details
Main Author: Moe Thu Zar.
Other Authors: Sung, Eric
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/4899
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Institution: Nanyang Technological University
Description
Summary:The main idea is to find the principal components of the distribution of faces or the eigenvectors of the covariance matrix of the set of training images.

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