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Administrative Matters
| Introduction and Purposes This course introduces students to physically based simulation for computer graphics and related fields. Physically based simulation is an active research area in computer graphics, with applications to computer games, virtual reality systems, and film special effects. Efficient numerical methods for simulating a variety of visually interesting physical phenomena will be discussed in the context of interactive simulation. Topics include deformable objects (solids, cloth), fluids, sound simulation, collision detection, haptics, rigid body dynamics, and GPU programming. In addition to computer science students, this course should also be appropriate for graduate students in related disciplines such as mathematics and physics. |
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SchedulePrerequisitesAssignments and projectGrading
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| Date | Topic | Reading, slides, and other material | Notes | Scribe notes |
| Mon Jan 10 2011 | Overview of physical simulation in computer graphics and interactive applications | Slides | ||
| Wed Jan 12 | Overview of physical simulation in computer graphics and interactive applications | |||
| Mon Jan 17 | No class (Martin Luther King Day) | |||
| Wed Jan 19 | Primer on numerical simulation and linear algebra for graphics | D. Baraff and A. Witkin: Physically Based Modeling, course notes, SIGGRAPH 2001 | Assignment 1 out | |
| Mon Jan 24 | ||||
| Wed Jan 26 | CMU slides on OpenGL shadingCMU slides on texture mapping | |||
| Mon Jan 31 | Structured deformable objects: cloth | D. Baraff and A. Witkin: Large steps in cloth simulation, SIGGRAPH 1998 | Ankit Chaudhari | |
| Wed Feb 2 | Structured deformable objects: hair | F. Bertails, B. Audoly, M.P. Cani, B. Querleux, F. Leroy, J.L. Lévêque: Super-Helices for Predicting the Dynamics of Natural Hair, SIGGRAPH 2006 S. Hadap and co-organizers: Strands and Hair: Modeling, Animation, and Rendering, course notes, SIGGRAPH 2007 | Doke Hrudesh | |
| Mon Feb 7 | Structured deformable objects: FEM | M. Mueller and M. Gros: Interactive virtual materials, Graphics Interface 2004 | Assignment 1 due | Fun Shing Sin |
| Wed Feb 9 | Lagrange mechanics and FEM | J. Barbic: Real-time Reduced Large-Deformation Models and Distributed Contact for Computer Graphics and Haptics , PhD thesis, 2007 (pages 33-42) M. Mueller and co-organizers:Real-time physics, course notes, SIGGRAPH 2008 (pages 43-51) S. Capell, S. Green, B. Curless, T. Duchamp, Z. Popovic:Interactive Skeleton-Driven Dynamic Deformations, SIGGRAPH 2002 | Rejah Anuvar | |
| Mon Feb 14 | Rigid body dynamics | D. Baraff and A. Witkin: Physically Based Modeling, course notes (the chapter on Rigid Body Dynamics),SIGGRAPH 2001 | Jonathan Culp | |
| Wed Feb 16 | Constraints and contact | D. Baraff and A. Witkin: Physically Based Modeling, course notes (the chapters 'Constrained Dynamics' and 'Collision and Contact'), SIGGRAPH 2001 | Yufeng Zhu | |
| Mon Feb 21 | No class (President's Day) | |||
| Wed Feb 23 | Collision detection | Ming Lin's course notes on collision detectionCollision detection at UNC, Chapel Hill The Gilbert-Johnson-Keerthi Algorithm (realtimecollisiondetection.net) Y. Kim, M. Otaduy, M. Lin, D. Manocha: Fast Penetration Depth Computation for Physically-based Animation, ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2002 | Recep Doga Siyli | |
| Mon Feb 28 | Collision detection | Ming Lin's course notes on bounding volume hierarchies and spatial partitioning S. Gottschalk, M. Lin, D. Manocha: OBB-Tree: A Hierarchical Structure for Rapid Interference Detection, SIGGRAPH 1996 S. Quinlan: Efficient Distance Computation between Non-Convex Objects, ICRA 1994 | Yezhisai Murugesan | |
| Wed Mar 2 | Fracture and cutting | J. O'Brien and J. Hodgins: Graphical Modeling and Animation of Brittle Fracture,SIGGRAPH 99. E. Parker and J. O'Brien: Real-Time Deformation and Fracture in a Game Environment, ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2009 | Akshay Hegiste | |
| Mon Mar 7 | Fluids (Navier-Stokes) | J. Stam: Stable Fluids, SIGGRAPH 1999 | Assignment 2 due | Vishak Nag Ashoka |
| Wed Mar 9 | Fluids (Navier-Stokes) | N. Foster, D. Metaxas: Realistic animation of liquids, Graphical Models and Image Processing, 58(5), 1996 | Rohit Vishal Kotian | |
| Mon Mar 14 | No class (spring break) | |||
| Wed Mar 16 | No class (spring break) | |||
| Mon Mar 21 | Simulation on programmable graphics hardware (GPUs) | Slides on shaders and GPUs | Samuel Woo | |
| Wed Mar 23 | Guest Lecture: Christopher Cameron, NVIDIA: | J. Georgii, R. Westermann:Mass-spring systems on the GPU | Yongqiang Li | |
| Mon Mar 28 | Fluids (Navier-Stokes) | A. Treuille, A. Lewis, Z. Popovic: Model reduction for real-time fluids, SIGGRAPH 2006 | Samuel Yung | |
| Wed Mar 30 | Haptics | K. Salisbury and F. Conti:Haptic Rendering: Introductory Concepts, IEEE Computer Graphics, 2004 (a survey) M. Lin and M. Otaduy: Recent Advances in Haptic Rendering & Applications, SIGGRAPH 2005 Course Notes | Ningyuan Shi | |
| Mon Apr 4 | Haptics | J. Barbic and D. James: Six-DoF Haptic Rendering of Contact between Geometrically Complex Reduced Deformable Models, IEEE Transactions on Haptics 2008 | Christopher Mangus | |
| Wed Apr 6 | Sound simulation | J. O'Brien, C. Shen, and C. Gatchalian:Synthesizing Sounds from Rigid-Body Simulations, SCA 2002 | Wei Wu | |
| Mon Apr 11 | Case study: Havok engine for physics in games | |||
| Wed Apr 13 | Guest lecture: Dr. Doug Roble, Digital Domain | |||
| Mon Apr 18 | Data-driven approaches to simulation (motion capture) | J. Lee, J. Chai, P. Reitsma, J. Hodgins, N. Pollard:Interactive Control of Avatars Animated with Human Motion Data, SIGGRAPH 2002 J. Barbic, A. Safonova, J. Pan, C. Faloutsos, J. Hodgins, N. Pollard:Segmenting Motion Capture Data into Distinct Behaviors, Graphics Interface, 2004 | Ting-Chun Sun | |
| Wed Apr 20 | Data-driven approaches to simulation (motion capture) | V. Zordan, N. Horst:Mapping optical motion capture data to skeletal motion using a physical model, ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2003 SlidesVideos | ||
| Mon Apr 25 | Project presentations | |||
| Wed Apr 27 | Project presentations | Project due |
Prerequisites
Assignments and project
There will be two programming homework assignments, and a programming class project.
In each assignment, the student will program an interactive computer graphics simulation, related to the material covered in class. Tentative topics are a mass-spring system simulation, and a dynamic simulation of rigid bodies with constraints.
Students will be able to select their individual topic for the final project. Examples: implement a SIGGRAPH paper of your choice, implement an elaborate demo using a physics game engine (e.g., Havok), a fluid solver, a collision detection algorithm, a robotic rigid multi-body system, a real-time sound simulator, a fast FEM deformable object simulation, a simulation in CUDA, etc.
Backgrounds in OpenGL or Direct3D are going to be very helpful for the homework assignments and the project. There will be at least one programming assignment in OpenGL and C. Students who do not have experience with OpenGL can still take the course, but they have to be ready to spend additional time to gain the necessary OpenGL proficiency to program the assignments.
Scribe notes
Every student will be taking scribe notes in one lecture during the semester, establishing a common reference point for the class.The quality of the scribe notes will be a factor in the student's class participation grade.The scribe notes should accurately represent the material discussed in class. Expected length of the notes is 1-2 pages. For example, see the following notes for a lecture in theCMU machine learning course.The notes are due 1 week after the lecture, and must be submitted by email to the instructor.In order to reserve a lecture to scribe, students should send an email to the instructor. If a student does not have a lecture assigned by Thursday, Jan 28, he or she will be assigned one by the instructor.
All scribe notes will be published publicly on the course website, so thatthe rest of the class can use them to review the class material.By default, the student's name will be included with the notes - but a student may, at his or her discretion, request for the notes to bemade anonymous. Doing so will have no effect on the student's grade.
Grading
All the assignments and the note-scribing must be done individually. The project can be done either individually, or in a groupof two students. All assignments, scribe notes, and the project must be completed to pass the course.
·Assignments: 20% each (40% total)
·Project: 50%
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·Class participation: 10%
The project grade will include the quality of the project proposal, project progress report, project milestone results,final project report, and the mandatory in-class project presentation.
Late policy
All work submitted after the deadline will receive a substantial score deduction, including potentially a zero score. Exceptions will be granted only under most dire circumstances and must be discussed with and approved by the instructor in advance.
Statement for Students with Disabilities
Any student requesting academic accommodations based on a disability is required to register with Disability Services and Programs (DSP) each semester. A letter of verification for approved accommodations can be obtained from DSP. Please be sure the letter is delivered to me (or to TA) as early in the semester as possible. DSP is located in STU 301 and is open 8:30 a.m.–5:00 p.m., Monday through Friday. The phone number for DSP is (213) 740-0776.
Academic integrity
All students are expected to maintain the utmost level of academic integrity. Passing off anyone else's (whether it be a fellow student or someone outside the university) work as your own is a serious infraction, and will lead to appropriate sanctions. Files that are clearly the same, or altered copies of each other, will receive zero credit and the USC Office of Student Judicial Affairs and Community Standards will be notified. Please consult the USC Student Conduct Code for details on what is and is not appropriate, and for the possible consequences of infractions.
USC Statement on Academic Integrity
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USC seeks to maintain an optimal learning environment. General principles of academic honesty include the concept of respect for the intellectual property of others, the expectation that individual work will be submitted unless otherwise allowed by an instructor, and the obligations both to protect one’s own academic work from misuse by others as well as to avoid using another’s work as one’s own. All students are expected to understand and abide by these principles. Scampus, the Student Guidebook, contains the Student Conduct Code in Section 11.00, while the recommended sanctions are located in Appendix A. Students will be referred to the Office of Student Judicial Affairs and Community Standards for further review, should there be any suspicion of academic dishonesty. The Review process can be found at: http://www.usc.edu/student-affairs/SJACS/.