Description:
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 Techniques and Applications - Lecture 14
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#Computer Science
#Artificial Intelligence
#Computer Vision
#Programming
#Domain-Specific Languages (DSL)
#MATLAB
#Image Processing
#Mathematics
#Algebra
#Linear Algebra
#Eigenvectors
#Machine Learning
#Principal Component Analysis
#Face Recognition
#Linear Discriminant Analysis