MIME-Version: 1.0 Server: CERN/3.0 Date: Sunday, 24-Nov-96 21:27:12 GMT Content-Type: text/html Content-Length: 2814 Last-Modified: Monday, 06-May-96 18:43:27 GMT CS 664: Machine Vision

CS 664: Machine Vision

Course Staff:
Instructor: Ramin Zabih
Teaching Assistant: Justin Miller

Class Time and Place
MWF, 3:35-4:35, Phillips 219

Project Suggestions

Problem Sets
Problem Set 1
Problem Set 2

Course Class Notes
How to Scribe
Week 1
29 January - Regularization
31 January - Simulated Annealing
5 February - Computing Motion via Regularization
7 February - Calculus of Variations
12 February - Maximum Likelihood Estimation
14 February - Markov Random Fields
19 February - Snakes
21 February - Stereo and Motion
26 February - Introduction to Correlation
28 February - Mestimation
4 March - Non-parametric Methods
6 March - Guest Lecture
6 March - Non-parametric Transforms (Cont.)
13 March - Correlation and Census Transform
18 March - No lecture(Cont.)
27 March - Stereo Geometry (Cont.)
29 April - 2D Geometrical Transforms
1 April - Motion Segmentation
8 April - Tracking
10 April - Motion Tracking (Cont.)
15 April - Edge Detection
17 April - Continuation of Model Based Vision
21 April - Hausdorff Distance
23 April - Guest Lecture - Eigenhausdorff.
30 April - Face Recognition

Section Notes
The Optical Flow Constraint Equation

Other Sources
Computer Vision Home Page
History of Object Recognition