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UNC Chapel Hill M. C. Lin COMP259: Physically-Based Modeling, Simulation & Animation Tues/Thur 12:30pm – 1:45pm (SN 011)

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Presentation on theme: "UNC Chapel Hill M. C. Lin COMP259: Physically-Based Modeling, Simulation & Animation Tues/Thur 12:30pm – 1:45pm (SN 011)"— Presentation transcript:

1 UNC Chapel Hill M. C. Lin COMP259: Physically-Based Modeling, Simulation & Animation Tues/Thur 12:30pm – 1:45pm (SN 011) http://www.cs.unc.edu/~lin/COMP768/ Ming C. Lin SN223, 962-1974 lin@cs.unc.edu http://www.cs.unc.edu/~lin Office Hours: TR 2:00pm-3:00pm

2 UNC Chapel Hill M. C. Lin Prerequisities Old COMP250 (Scientific Computing) or old Math 191 (ODE’s) Old COMP235 (Images, Graphics & Vision) or old COMP136 (Elementary 3D Graphics)

3 UNC Chapel Hill M. C. Lin 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 UNC Chapel Hill M. C. Lin Course Overview 3D Models + Images -> 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 UNC Chapel Hill M. C. Lin 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 UNC Chapel Hill M. C. Lin Possible Applications  Computer Animation  Virtual Environments  Rapid Prototyping  Haptic Rendering  Computer Game Dynamics  Robotics and Automation  Medical Simulation and Analysis

7 UNC Chapel Hill M. C. Lin 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 UNC Chapel Hill M. C. Lin See Course Website http://www.cs.unc.edu/~lin/COMP768 for more details……


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