Face Recognition Techniques and Applications - Lecture 14

Explore face recognition techniques in this comprehensive lecture from the UCF Computer Vision series. Delve into simple approaches, PCA, MATLAB applications, eigenvectors, image compression, covariance matrices, and their associated challenges. Examine Linear Discriminant Analysis, measures of separation, and scatter matrices with practical examples. Gain valuable insights from Dr. Mubarak Shah's expertise in computer vision and image processing.

Face Recognition
Simple Approach
Face Technician
PCA
MATLAB
Eigenvector
Image compression
Covariance matrix
Problems
Linear Discriminant
Measure of Separation
Scatter Matrix
Scatter Matrix Example