CSE 570: Advanced Computer Graphics
CIDSE at Arizona State University
Fall 2016 * T & TH 9:00 - 10:15am * BYAC 240
Instructor: Dianne Hansford, Ph.D.
Office Hours: after class or by appointment
Home Page Class Log
This course serves as an introduction to 3D shape analysis techniques for computer graphics, geometric modeling, motion capture and computer vision research. The concepts to be discussed include curves, surfaces; discrete meshes, half-edge data structure, polygon mesh processing; Dijkstra's shortest path algorithm, fast marching method; iterative closest point algorithms; multidimensional scaling algorithm; heat kernel and spectral analysis, isometric embedding; conformal parameterization, volumetric harmonic map, etc.
This class is aimed at bringing students close to independent research: if interesting topics arise, we will spend more time on them. Student input on choice of topics is welcome!
Students who complete this course should develp the following core competencies.
1. Understand the basic theoretical concepts underlying shape analysis for various computer graphics applications.
2. Develop software to implement these concepts in an interactive computer graphics environment.
3. Able to read advanced literature in the field.
Numerical Geometry of Non-Rigid Shapes, Alexander M. Bronstein, Michael M. Bronstein and Ron Kimmel, Springer, 2008 is the required textbook.
This page and the class log are the primary webpages for this course.
Blackboard will be used for turning in assignments and posting announcements.
- Lectures, videos,
and Mathematica demonstrations in class
-- learn why the topic is important, learn the fundamentals, and see it at work
computer graphics topic + writing component + use of a software tool
-- learn the topic, learn a tool, and learn to communicate better
- In class exercises and quizzes:
practice key concepts of the day
-- bring paper, pencil, and eraser to class and be prepared to work on examples
- Students are expected to attend class.
4 Mathematica programming projects: 40% (each 10%)
Attendance and Participation: 10%
Mid-term test: 25%
End-term test: 25%
Team work on the programming assignments is allowed only with special permission. A team will be expected to do more work than the basic assignment.
Late work will be discounted at a rate of 5% per day.
Missed tests may be made-up if a valid excuse is presented with documentation.
Please discuss grading issues with the TA first.
Accumulated score rounded up to nearest integer and letter grade assigned by rule:
A: 90-100, B: 80-89, C: 70-79, D: 60-70, E: <60
"Plus grades" (A+, B+, etc) are earned through above average class participation.
Disability Resource Center
Please check the website for ASU's Disability Resource Center for assistance.
Violations of the University Academic Integrity policy will not be ignored. Penalties include reduced or no credit for submitted work, a failing grade in the class, a note on your official transcript that shows you were punished for cheating, suspension, expulsion and revocation of already awarded degrees. The university requires that should I implement any of these penalties, I must report the matter to the Dean's office. Please visit the university academic integrity policy webpage.
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