E186 Handouts
Visual Perception
[html]
[ps]
[pdf]
More about Color Perception
[html]
Sampling Theory
[html]
[ps]
[pdf]
Convolution Theory
[html]
[ps]
[pdf]
Image Resizing
[html]
[ps]
Gradient, Laplace, LoG and DoG
[html]
[ps]
Edge Detection Methods
[html]
[ps]
Fourier Transform
[html]
[ps]
[pdf]
Walsh-Hadamard Transform
[html]
[ps]
[pdf]
Discrete Cosine Transform
[html]
[ps]
[pdf]
Principal Component Transform
[html]
[ps]
[pdf]
Sigular Value Decomposition
[html]
[ps]
[pdf]
Motion Restoration
[html]
[ps]
[pdf]
Information Theory and Huffman Coding
[html]
[ps]
Hough Transform
[html]
[ps]
[pdf]
Fourier Descripter
[html]
[ps]
[pdf]
Template Match
[html]
[ps]
[pdf]
Classification
[html]
[ps]
[pdf]
Feature Selection
[html]
[ps]
[pdf]
Clustering Analysis
[html]
[ps]
[pdf]
Hierarchical Classifier
[html]
[ps]
[pdf]
Intro. to Neural Networks
[html]
[ps]
[pdf]
Back Propagation Network
[html]
[ps]
[pdf]
Review of Linear Algebra
[html]
[ps]
[pdf]
Review of Probability I (univariate)
[html]
[ps]
[pdf]
Review of Probability II (multivariate)
[html]
[ps]
[pdf]