Date	Topic
Thu 8/25	Introduction, Problem definitions, Edge detection
Tue 8/30	Texture synthesis with trigrams
Thu 9/1	Density estimation, mean shift
Tue 9/6	Maximum likelihood estimation (coin example spreadsheet)
Thu 9/8	Markov chains, energy minimization
Tue 9/13	Guest lecture: Bryan Kressler on Medical Imaging
Thu 9/15	Metropolis, pixel labeling problems, stereo
Tue 9/20	Annealing, binary labeling problems, graph cuts
Thu 9/22	Binary labeling applications in vision
Tue 9/27	Linear potentials, multiway cut problem
Thu 9/29	Swap and expansion move algorithms, applications
Tue 10/4	Guest lecture: Ashish Raj on Medical Imaging
Thu 10/6	Expectation-maximization, slanted surface stereo
Thu 10/13	Joint histograms, mutual information, multi-modal stereo
Tue 10/18	Multi-camera stereo
Thu 10/20	Image registration, robust statistics
Tue 10/25	Robust statistics
Thu 10/27	Motion
Tue 11/1	Layered motion, RANSAC, panoramas, epipolar geometry (slides)
Thu 11/3	Estimating epipolar geometry, edge detection
Tue 11/8	SIFT feature detection, recognition
Thu 11/10	Haussdorff distance, distance transforms, flexible templates
Tue 11/15	Dynamic programming, active contour models
Thu 11/17	Curve evolution, level sets
Tue 11/22	Guest lecture: Bryan Kressler on Medical Imaging
Tue 11/29	Bayesian computer vision
Thu 12/1	What we didn't cover