facial recognition using the SVD

This Jupyter notebook provides a sample implementation of facial recognition using the singular-value decomposition (SVD). It contains a FacialRecognition class that provides the required methods, and explains how each method is used to recognize faces. The Faces94 dataset was used in this example, and is included in the repository (Source: https://cswww.essex.ac.uk/mv/allfaces/faces94.html).

Getting Started

You can view this Jupyter notebook from GitHub. To see the code in action, clone this repository and run jupyter notebook from the same directory.