CS 766 - Computer Vision Fall 2006

CS 766 Syllabus

Week	Starting	Topics	Reading
1	9/5	Introduction
		What is computer vision?
		The Marr paradigm and scene reconstruction
		Other paradigms for image analysis
2	9/12	Image Formation	1, 2, 3.1.1, 3.2, 4
		Image Geometry
		Radiometry
		Digitization
3	9/19	Image Formation (cont.)
4	9/26	Binary Image Analysis and Segmentation	14, 22.1, 22.2
		Properties
		Digital geometry
		Segmentation
5	10/3	Binary Image Analysis and Segmentation (cont.)
6	10/10	Image Processing for Feature	7 (except 7.3), 8, 9.2,
		Detection and Image Synthesis	15 (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
7	10/17	Image Processing (cont.)
8	10/24	Image Processing (cont.)
9	10/31	Stereo	10.1, 11
10	11/7	Shape from X	5 (except 5.5), 9
		Exam: Tentatively, Thursday, 11/9
		Shape from shading
		Photometric stereo
		Texture
		Occluding contour detection
11	11/14	Shape from X (cont.)
12	11/21	Motion Analysis	12 (except 12.5)
		Motion detection and optical flow
		Structure from motion
13	11/28	Motion Analysis (cont.)
		Exam #2: Tentatively, Thursday, 11/30
14	12/5	Object Recognition	18, 22.3, 23.2, 24.3
		Model-based methods
		Appearance-based methods
		Invariants
15	12/12	Object 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.