Date Topic Scribe(s)

Tue 1/25

Overview; why vision is hard; what we'll cover RDZ

Thu 1/27

Image restoration and uniform local operators Ozan Hafizogullari

Tue 2/1

Image restoration and data fitting Maverick Woo

Thu 2/3

 Global optimization via simulated annealing Ming Wai Lam

Tue 2/8

 Graph cuts for optimization Dion Harmon

Thu 2/10

 Guest lecture: Jon Kleinberg on Preflow-push algorithms Vladimir Kolmogorov

Tue 2/15

 The Potts model and the Multiway Cut Problem Jason Rohrer

Thu 2/17

 Isolating cuts, optimality, stereo matching

Tue 2/22

 Guest lecture: Static, Dynamic and Transparent Structure From Motion Shai Avidan

Thu 2/24

 Energy minimization with swap- and expansion-moves Kate Jenkins

Tue 2/29

 Picking a Good Energy function Milo Polte

Thu 3/2

 Gain and bias, outliers, robust statistics Andrew J. Lee

Tue 3/7

 Non-parametric correlation, variable windows Michael Shapiro

Thu 3/9

 Variable windows

Tue 3/14

 Volume Intersection and Camera Geometry Yi Lin

Thu 3/16

 Epipolar geometry, probability and statistics

Tue 3/28

 Class cancelled

Thu 3/30

 Statistics, Markov Random Fields Robert Shcherbakov

Tue 4/4

 Guest lecture: Layers P. Anandan

Thu 4/6

 Markov Random Fields, Hammersley-Clifford theorem Sergey Kriminski

Tue 4/11

 Snakes Ben Cichy

Thu 4/13

 Hausdorff distance None

Tue 4/18

 Guest lecture: Bayesian Multi-camera Surveillance Vera Kettnaker

Thu 4/20

 Hausdorff tracking Xiaochun Shen

Tue 4/25

 Guest lecture: Space Carving Kyros Kutulakos

Thu 4/27

 Segmentation and Clustering Alex Holub

Tue 5/2

Thu 5/4

 Class presentations