Title
Real time physics: class notes
Abstract
Physically based simulation is a significant and active research field in computer graphics. It has emerged in the late eighties out of the need to make animations more physically plausible and to free the animator from explicitly specifying the motion of complex passively moving objects. In the early days, quite simple approaches were used to model physical behavior such as mass-spring networks or particle systems. Later, more and more sophisticated models borrowed from computational sciences were adopted. The computational sciences appeared decades before computer graphics with the goal of replacing real world experiments with simulations on computers. In contrast, the aim of using physical simulations in graphics was, and still is, the reproduction of the visual properties of physical processes for special effects in commercials and movies. Computer generated special effects have replaced earlier methods such as stop-motion frame-by-frame animation and offer almost unlimited possibilities. Meanwhile, the rapid growth of the computational power of CPUs and GPUs in recent years has enabled real time simulation of physical effects. This possibility has opened the door to an entirely new world, a world in which the user can interact with the virtual physical environment. Real time physical simulations have become one of the main next-generation features of computer games. Allowing user interaction with physical simulations also poses new challenging research problems. In this class we address such problems and present basic as well as state-of-the-art methods for physically based simulation in real time.
Year
DOI
Venue
2008
10.1145/1401132.1401245
ACM SIGGRAPH 2008 classes
Keywords
DocType
Citations 
computer game,special effect,physical effect,computational science,real time physic,physical behavior,class note,physical process,computer graphics,virtual physical environment,real time,physical simulation,particle system,computer graphic
Conference
26
PageRank 
References 
Authors
1.01
42
4
Name
Order
Citations
PageRank
Matthias Muller12726122.09
Jos Stam22211164.69
Doug L. James32205124.66
Nils Thuerey494151.65