Powerpoint slide sets for "Computer Vision: A Modern Approach"
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An Introduction to Computer Vision
Cameras
Radiometry
Sources, Shadows and Shading
Color
Linear Filters and Edge Detection
Pyramids and Texture
Segmentation by Clustering
Fitting and Segmentation
Segmentation and Fitting using Probabilistic Methods
Tracking using Linear Dynamic Models and the Kalman Filter
Model-based Vision
Recognition by Template Matching
Recognition by Relations between Templates