Scope of PBMIS

• Science vs engineering

• Online vs. offline simulation

• Application driven

• Research issues

A little about me…

• Doug James (Asst. prof of CS/Robotics)

• Background: Appl. Math & Comp. Science

• Research Interests: • Data-driven simulation techniques• Precomputation methods

• A few videos…

Simulating Large Models

Why?

• Virtual reality• Interactive computer animation• Surgical simulation; preoperative planning• Computational robotics; manipulation• Video games• Assembly planning• Scientific visualization• Education• E-commerce

Interactive Computer Animation

Haptic Interfaces

• hap·tic ('hap-tik)adj.Of or relating to the sense of touch; tactile.

Glove-based Interaction

Force-feedback Rendering

Simulating Large Models

Simulating Large Models

Simulating Large Models

Reality-based Modeling

Simulation in Graphics Hardware

Surgical Simulation

EigenSkin

Hardware rendering of physical models

• TOPICS TO BE COVERED:Depending on time and class interest we will cover topics from:

• Overview of physical simulation in graphics and interactive applications

• Dynamical systems • Numerical integration of ODEs • Rigid body dynamics • Deformable objects • Fluids & gases• Constraints and contact • Collision detection • Multiresolution modeling • Rendering issues: graphics, haptics and acoustics • Simulation on programmable graphics hardware • Data-driven approaches to simulation • Reality based measurement & inverse problems • Other applications of physically based modeling in graphics

C:\Program Files\QuickTime\quicktimeplayer.exe d:\pbmis\media\fedkiw\cloth1.avi

• TOPICS TO BE COVERED:Depending on time and class interest we will cover topics from:

• Overview of physical simulation in graphics and interactive applications

• Dynamical systems • Numerical integration of ODEs • Rigid body dynamics • Deformable objects • Fluids & gases• Constraints and contact • Collision detection • Multiresolution modeling • Rendering issues: graphics, haptics and acoustics • Simulation on programmable graphics hardware • Data-driven approaches to simulation • Reality based measurement & inverse problems • Other applications of physically based modeling in graphics

Computing Context

• Think about graphics/PBMIS in 10 years!• Moore’s law: 101x

• Simulation in graphics hardware • Teraflops within several years • “Kirk’s law”: 32000x in 10years• Parallel GPU-CPU programming model• Mini survey next class

• Focus on mathematical challenges• Role of precomputation

• 5184000x advantage• Problem reformulation/reparameterization

Evaluation

• Assignments• Approx. every 2 weeks

• Project• Majority of grade• Short-term schedule:

– Immediately: Start researching possible project areas– Feb 18: Project proposal– Mar 18: Progress report– Apr 1: Progress milestone– End Apr: Project due; presentations

Questionnaire

• Your chance to improve the course!