Date	Topic
Thu 8/26	Introduction, Applications, Problem Definitions
Tue 8/31	Stereo, Image Formation, Medical Imaging
Thu 9/2	Stereo, Multicamera Scene Reconstruction, Motion
Tue 9/7	Motion Segmentation, Registration
Thu 9/9	Registration, Joint histograms
Tue 9/14	Pixel labeling problems (see also slides)
Thu 9/16	Energy functions for pixel labeling problems
Tue 9/21	Feature space analysis, sparse methods
Thu 9/23	Tracking, recognition
Tue 9/28	Modern recognition, Optimization
Thu 9/30	Metropolis algorithm, Markov Chains
Tue 10/5	Simulated annealing
Thu 10/7	Graph cuts: Ising Model
Thu 10/14	Multiway cuts, expansion move algorithm
Tue 10/19	Expansion move algorithm (slides)
Thu 10/21	Multicamera stereo (slides)
Tue 10/26	Expectation maximization and graph cuts (slides)
Thu 10/28	Optical flow
Tue 11/2	Lucas-Kanade, IRLS
Thu 11/4	Layered motion, curve evolution
Tue 11/9	Level sets, snakes
Thu 11/11	Dynamic programming, distance transforms, Hausdorff distance
Tue 11/16	Flexible matching; Statistics in vision: mean shift
Thu 11/18	Statistics in vision:maximum likelihood estimation
Tue 11/23	MRI lecture by Bryan Kressler (no notes available)
Tue 11/30	Advanced MRI
Thu 12/2	What we didn't cover