Facial Recognition with Matrices
In my computational linear algebra course, we were tasked with creating our own technical report using concepts from the course.
Inspiration
Towards the end of the course, our professor Lori Ziegelmeier presented facial recognition of cats using matrices. This was something my group and I found fascinating and wanted to replicate using human faces.
Project Overview
We implemented a facial recognition system from scratch using:
- Eigenface Method: Decomposing face images into principal components
- Matrix Operations: Applying linear algebra concepts to image processing
- Custom Dataset: Collecting and processing our own set of facial images
Technical Details
The project demonstrates how linear algebra concepts like eigenvalues, eigenvectors, and matrix decomposition can be applied to real-world machine learning problems.