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Computing eigenfaces from scratch in Python

Image analysis with PCA has been widely used over past 30 years.
The fisrt article describing such idea was in 1991 by Turk and Pentland. CVPR paper , Journal paper
They proposed a PCA-based face recognition algorithm. The method of applying PCA on an image was described in detail.
In this notebook, I follow their description and compute eigenfaces on another widely used dataset, Japanese Female Facial Expression Dataset (JAFFE).

Data

Data can be downloaded from Kaggle.
images/ contains all the face images, data.csv contains information on each image, such as person ID, and the expression.

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Find eigenfaces with PCA in Python from scratch

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