COMP259: Physically-Based Modeling, Simulation - PowerPoint PPT Presentation

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COMP259: Physically-Based Modeling, Simulation

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Title: 3D Polyhedral Morphing Author: glab Last modified by: dm Created Date: 3/12/1998 6:53:32 PM Document presentation format: On-screen Show Company – PowerPoint PPT presentation

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Title: COMP259: Physically-Based Modeling, Simulation


1
COMP259 Physically-Based Modeling, Simulation
Animation
  • Tues/Thur 1230pm 145pm (SN 011)
  • http//www.cs.unc.edu/lin/COMP768/
  • Ming C. Lin
  • SN223, 962-1974
  • lin_at_cs.unc.edu
  • http//www.cs.unc.edu/lin
  • Office Hours TR 200pm-300pm

2
Prerequisities
  • Old COMP250 (Scientific Computing)
  • or
  • old Math 191 (ODEs)
  • Old COMP235 (Images, Graphics Vision) or
  • old COMP136 (Elementary 3D Graphics)

3
Textbook References
  • SIGGRAPH course notes
  • In-class handouts
  • Other research papers
  • More references (books, papers, pointers to other
    interesting resources) available at the course
    website

4
Course Overview
  • 3D Models Images -gt Rendering
  • (old COMP 236 238)
  • Virtual Reality Interface (old COMP239)
  • Geometric Solid Modeling (old COMP 258)
  • This course focuses on
  • MOVEMENTS making them move !

5
What Will We Be Doing
  • Geometry
  • Collision Detection
  • Computing Contact Manifolds
  • Mechanics
  • Particle Dynamics
  • Rigid Body Dynamics
  • Non-Rigid Body Dynamics
  • Fluid Dynamics
  • Numerical Computing
  • Initial Value Problems
  • Boundary Value Problems
  • Constraints Differential-Algebraic Equations

6
Possible Applications
  • Computer Animation
  • Virtual Environments
  • Rapid Prototyping
  • Haptic Rendering
  • Computer Game Dynamics
  • Robotics and Automation
  • Medical Simulation and Analysis

7
Goals
  • Be aware with a collection of geometric
    algorithms for modeling contacts.
  • Be knowledgeable with the following numerical
    methods for simulation initial value problems,
    constrained optimization, differential-algebraic
    equations, boundary value problems, etc
  • Be familiar with the following modeling paradigms
    of physical and biological systems particle
    dynamics, rigid body dynamics, flexible and
    deformable bodies
  • Be able to analyze the correctness and runtime
    performance of a given simulation method.
  • Be able to apply some techniques to research
    problems.

8
See Course Website
  • http//www.cs.unc.edu/lin/COMP768
  • for more details
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