Conference 5–9 August 2012
Exhibition 7–9 August 2012
Los Angeles Convention Center

Sound and Elements

Technical Papers

Sound and Elements

Thursday, 9 August 9:00 AM - 10:30 AM | Los Angeles Convention Center, Room 502AB
Session Chair: George Drettakis, REVES/INRIA Sophia-Antipolis

Motion-Driven Concatenative Synthesis of Cloth Sounds

A practical data-driven method for automatically synthesizing plausible soundtracks for physics-based cloth animations. The method's effictiveness is demonstrated on a variety of cloth animations involving various materials (corduroy pants, windbreakers, cotton, and polyester) and character motions, including first-person virtual clothing with binaural sound.

Steven S. An
Cornell University

Doug L. James
Cornell University

Steve Marschner
Cornell University

Precomputed Acceleration Noise for Improved Rigid-Body Sound

Introducing an efficient method for synthesizing acceleration noise due to rigid-body collisions using standard data provided by rigid-body solvers. Addition of acceleration noise significantly complements the standard modal-sound algorithm, especially for small objects.

Jeffrey N. Chadwick
Cornell University

Changxi Zheng
Cornell University

Doug L. James
Cornell University

Interactive Sound Propagation Using Compact Acoustic Transfer Operators

A precomputation-based method for adding realistic dynamic sound propagation and reverberation effects to virtual environments. The technique can model moving sources and listeners in real time. The technique is based on precomputing an acoustic transfer operator and compactly representing it using a scene-dependent Karhunen-Loeve basis.

Lakulish Antani
University of North Carolina at Chapel Hill

Anish Chandak
University of North Carolina at Chapel Hill

Lauri Savioja
Aalto University

Dinesh Manocha
University of North Carolina at Chapel Hill

Updated Sparse Cholesky Factors for Corotational Elastodynamics

A new method to update a Cholesky factorization that amortizes the cost of factorization over many frames of a simulation. The method yields higher performance and higher stability than traditional iterative solvers like conjugate gradients.

Florian Hecht
University of California, Berkeley

Yeon Jin Lee
University of California, Berkeley

Jonathan R. Shewchuk
University of California, Berkeley

James F. O'Brien
University of California, Berkeley