Attention will then shift from image creation to image understanding. While distinct problems and fields of study, there are overlaps and synergy. We will see through our survey of the literature that as visualization algorithms become more sophisticated, they begin to perform `interpretation' and begin to exploit image understanding techniques. We will also consider image understanding algorithms as test cases for how advanced interactive visualization supports research into semi-automated problem solving.
The topics to be covered in the image understanding portion of the seminar include: geometric model matching, object indexing, learning control strategies for object recognition, Eigen-space image classification techniques, template probing and wavelets.
| When: | Mon, Wed, Fri. 10:00 to 10:50 | |
|---|---|---|
| Where: | USC 100 | |
| Instructor: | J. Ross Beveridge | |
| 491-5877 | ||
| ross@cs.colostate.edu | ||
| USC 237 | ||
| Office Hours: | Mon, Wed 11:00-11:30, Thur. 2:00-3:00 |
Semester schedule and reading list (Postscript) is available. A complete readings packet has been prepared by the print shop.
| Project Proposal | 20% |
|---|---|
| Project Writeup | 25% |
| Project Presentation/Demonstration | 10% |
| Written summaries of papers | 25% |
| Leading discussions | 10% |
| Participation in class | 10% |
Between the project proposal, the writeup prepared at the conclusion of the semester, and the presentation/demonstration given to the class, the project accounts for 55% of the total grade. It is the intent that every student develop (or extend) a system in order to test a new idea associated with visualization and/or computer vision. The high-end graphics workstations in the Department's Computer Graphics Laboratory are available and students are encouraged to utilize other equipment/software as may best suite their particular project.
As graduate students, you should utilize each other as one of your best resources. You are of course encouraged to talk with other students about the papers and research ideas. You are also encouraged to seek each others help when it comes to getting the most out of using equipment and software packages. That said, make sure that anything you turn during the class is your own work. Please read the departmental policy statement regarding incompletes, cheating, and class attendance. This policy statement is in the file ~info/csu/student-info.
A complete semester Schedule and Bibliography is available in postscript.