美国Texas A&M University的John Keyser博士讲座

上传时间 :2005-04-06    浏览次数 :3615    发布者:系统管理员     部门:
  题 目: Interactive Physically-Based Fire Simulation
  主讲人:John Keyser (assistant professor,Texas A&M University)
  时 间:2005年4月8日星期五上午10:00
  地 点:紫金港校区图书信息中心B楼CAD&CG国家重点实验室402室

Abstract:
  Visually realistic simulation of physical systems has become an important part of many computer graphics applications. For several of these applications, such as training simulators and games, performing the simulations at interactive rates is especially important. We would like to have systems that can respond to user input in a physically-believable fashion, at a rate sufficient to allow a user to interact with the system as it develops.
This talk will present a number of techniques developed in the context of ongoing work on interactive fire simulation. While fire simulation will be used as a motivating example for most of the techniques, many of the principles will apply equally well to other complex physically-based simulations. First, our interactive fire simulation framework will be described. Our framework couples a flame simulator with a solid simulator, and enables us to recreate of a number of phenomena not possible in prior fire simulations. Next, a multi-representation object odel for physically-based modeling will be described, with particular emphasis on how it can be used to model deformation of burning objects. Finally, a keyframing approach will be presented. This approach is focused on controlling high-resolution complex simulations based on sampling from a lower resolution interactive simulation. If time permits, additional issues related to simulation level of detail will be discussed.

Bio:
  John Keyser is an assistant professor in the Department of Computer Science at Texas A&M University. He received his Ph.D. in Computer Science from the University of North Carolina in 2000, and B.S. degrees in Engineering Physics, Applied Mathematics, and Computer Science from Abilene Christian University in 1994. His research interests, broadly encompassing graphics, are specifically focused on issues of modeling. Current research projects focus on robust geometric and solid modeling, geometric reconstruction and visualization of scanned neuron data, and physically-based simulation for graphics applications.

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                计算机学院(CAD&CG国家重点实验室)