Statistics
Project : Principal Component Analysis
The project consists in a reading lips system to control a security door (for example). My group was in charge of developing Principal Component Analysis algorithm to compress the image of lips for the database. Our presentation, before the project, was common with the LDA algorithm group : [ PPT ].
Thanks to Ahmed Habbani, we have a PCA algorithm written in [ C ]. We have modified the algorithm : Our matrix in input has in colums the different level of gray of pgm image, and in line different image. Each coefficient of the matrix is a number, which represents how often a level is present in the image.
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