CSE 694I (proposed CSE 634): Computer Vision for Human-Computer Interaction
Description
Computer vision algorithms for use in human-computer interactive systems. Topics include image formation, image features, segmentation, shape analysis, object tracking, motion calculation, and applications.
Level, Credits, Class Time Distribution, Prerequisites
Level
|
Credits
|
Class Time Distribution
|
Prerequisites
|
UG |
3 |
3 cl. |
630 or ECE 352; Math 568 or Math 571; or permission of instructor. |
Quarters Offered
General Information, Exclusions, Cross-listings, etc.
Objectives
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Master fundamental computer vision algorithms.
-
Be familiar with Matlab programming environment.
-
Be exposed to original research and applications in computer vision.
Texts and Other Course Materials
-
Computer Vision: A Modern Approach - Forsyth and Ponce
-
Computer Vision - Shapiro and Stockman
Topics
Number of Hours
|
Topic
|
1 |
Introduction |
2 |
Image formation |
2 |
Noise removal |
2 |
Edge detection |
1 |
Laplacian pyramids |
2 |
Region segmentation |
2 |
2-D shape |
4 |
Motion |
2 |
Trajectories |
2 |
Kalman filtering |
2 |
2-D/3-D geometry |
1 |
New frontiers in computer vision |
2 |
Applications |
3 |
Motion capture |
1 |
Current research: Human activity analysis |
1 |
Exam |
Representative Lab Assignments
-
Homework assignments covering each of the topics will consist of programming assignments in Matlab.
-
A term project will be assigned to give students an opportunity to expand on the ideas presented in class and explore interesting computer vision applications.
Grades
Homework assignments |
40% |
Midterm exam |
20% |
Research project |
30% |
Class participation |
10% |
Relationship to ABET Criterion 3
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k |
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Relationship to CSE Program Outcomes/Objectives
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1b |
1c |
2a |
2b |
2c |
3a |
3b |
4a |
4b |
5a |
5b |
5c |
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Course Coordinator: James William Davis
Prepared by Bruce Weide
Last modified: Mar 15 2005 8:55AM