Face Recognition using Principal Component Analysis
Recent advance in machine learning has made face recognition not a difficult problem. But in the previous, researchers have made various attempts and developed various skills to make computer capable of identifying people. One of the early attempt with moderate success is eigenface, which is based on linear algebra techniques.
In this tutorial, we will see how we can build a primitive face recognition system with some simple linear algebra technique such as principal component analysis.
After completing this tutorial, you will know:
- The development of eigenface technique
- How to use principal component analysis to extract characteristic images from an image dataset
- How to express any image as a weighted sum of the characteristic images
- How to compare the