Project basics

This project is my attempt to understand the eigenface face-recogntion algorithm as a 1st year computer science student. It uses the Yale-faces dataset and some features from the numpy/PIL libraries, but primarily all of the datastructures are written from the ground up. The general goal for this project was always to build a face recognition system from first principles, and while I had to cut some corners due to time constraints, I largely succeeded at this.

Documents and relevant information:

1. How to use the program
2. Implementation document
3. Testing document
4. Weekly reports
5. Specification document