Computer Animation

CSI5140P (COMP5900P) A/T : Selected Topics: Computer Animation
ELG7187D (EAJC5808D) Topics in Computers: Computer Animation (Carleton CRN: 17193)

(Sep 6 - Dec 6, Fall, 2017)

WonSook Lee

CSI5147 F00
(September 06 - December 06)
LECThursday 14:30 - 17:30LEE A130Wonsook Lee

Office Hour:



Computer Animation is an attractive form of various techniques underlying such as computer graphics, computer vision, physics, robotics, biomechanics, and applied mathematics. Today’s computer animation techniques contribute in computer-generated films, computer games, virtual reality and human computer interactions. In this graduate course, various algorithms and techniques are covered and discussions and proposal of improvements are encouraged. The main topics are Principles of Animation, Human Modeling, Motion capture, Inverse kinematics, Motion Editing/retargeting, Flexible bodies, Facial animation, clothes animation, high-level behaviours and various applications.

Course Outline: (Preliminary Course Components) :

  • Chap 1 Introduction to Computer Animation and Animation Principles
  • Chap 2 Animation Mathematics
  • Chap 3 Rigid-Body Animation
  • Chap 4 Motion Capture
  • Chap 5 Motion editing
  • Chap 6 Soft-body Animation
  • Chap 7 Virtual Human Modeling & Animation
  • Chap 8 Behavioral Animation
  • Chap 9 Various Application Areas

Textbooks  (recommended)

"Computer Animation: Algorithms and Techniques" by Richard Parent
"Advanced Animation and Rendering Techniques: Theory and practice" by Alan Watt and Mark Watt, Addison-Wesley Pub Co., ISBN: 0201544121
"Game Programming Gems", Mark DeLoura (Ed.), Charles River Media, 2000.
"Understanding Motion Capture for Computer Animation and Video Games", Alberto Menache
"3D Games: Real-time Rendering and Software Technology, Volume 1", Alan Watt and Fabio Policarpo, Addison-Welsey, 2001

Selected research papers & technical specifications in the course topics (to be specified in class)

Grading Scheme:

Project (research + programing)  30%

3 exams 70%
    – Exam 1 (20%)
    – Exam 2 (20%)
    – Exam 3 (30%)

WonSook LEE, Ph.D.

School of Information Technology and Engineering (SITE)
University of Ottawa
800 King Edward Avenue
P.O. Box 450, Stn A
Ottawa, Ontario, Canada K1N 6N5

Office: CBY A509
Tel: (613) 562-5800 ext. 2501
Fax: (613) 562-5664