Computer Sciences Dept.

CS 766 - Computer Vision

Fall 2006
Picture of robot eye

CS 766 Syllabus

What is computer vision?
The Marr paradigm and scene reconstruction
Other paradigms for image analysis
29/12Image Formation1, 2, 3.1.1, 3.2, 4
Image Geometry
39/19Image Formation (cont.)
49/26Binary Image Analysis and Segmentation14, 22.1, 22.2
Digital geometry
510/3Binary Image Analysis and Segmentation (cont.)
610/10Image Processing for Feature7 (except 7.3), 8, 9.2,
Detection and Image Synthesis15 (except 15.3 and 15.4),
Edge detection, corner detection,24.2.2, 26.1, 26.3
Line and curve detection, SIFT operator,
Image-based modeling and rendering,
Mosaics, snakes
710/17Image Processing (cont.)
810/24Image Processing (cont.)
910/31Stereo10.1, 11
1011/7Shape from X5 (except 5.5), 9
Exam: Tentatively, Thursday, 11/9
Shape from shading
Photometric stereo
Occluding contour detection
1111/14Shape from X (cont.)
1211/21Motion Analysis12 (except 12.5)
Motion detection and optical flow
Structure from motion
1311/28Motion Analysis (cont.)
Exam #2: Tentatively, Thursday, 11/30
1412/5Object Recognition18, 22.3, 23.2, 24.3
Model-based methods
Appearance-based methods
1512/12Object Recognition (cont.)

All readings refer to chapters in the textbook Computer Vision: A Modern Approach by D. A. Forsyth and J. Ponce, Prentice Hall, 2003. Not included here are additional readings from other sources; these will be listed in the online list of course readings.

CS 766 | Department of Computer Sciences | University of Wisconsin - Madison