Technical Papers

Physics-Based Sound & Bubbles

Tuesday, 27 July | 2:00 PM - 3:30 PM | Room 403 AB
Session Chair: George Drettakis, REVES/INRIA Sophia-Antipolis
Precomputed Wave Simulation for Real-Time Sound Propagation of Dynamic Sources in Complex Scenes

A method for real-time sound propagation that uses numerical simulation to capture all wave effects, including diffraction, for moving sources. This paper demonstrates realistic effects such as diffraction passing low behind obstructions, "hollow" resonance in empty rooms, sound diffusion in fully furnished rooms, and realistic late reverberation.

Nikunj Raghuvanshi
Microsoft Corporation, University of North Carolina at Chapel Hill

John Snyder
Microsoft Corporation

Ravish Mehra
University of North Carolina at Chapel Hill

Ming Lin
University of North Carolina at Chapel Hill

Naga Govindaraju
Microsoft Corporation

Rigid-Body Fracture Sound With Precomputed Soundbanks

A physically based algorithm for synthesizing sounds synchronized with brittle fracture animations. To reduce sound-model generation costs for complex fracture debris, this method introduces precomputed rigid-body soundbanks comprised of precomputed ellipsoidal sound proxies.

Changxi Zheng
Cornell University

Doug James
Cornell University

Sounding Liquids: Automatic Sound Synthesis From Fluid Simulation

This approach couples physically based equations for bubble resonance with real-time and hybrid grid-SPH-based fluid simulators to automatically synthesize multi-mode liquid sounds directly from visual simulations of fluid dynamics.

William Moss
University of North Carolina at Chapel Hill

Hengchin Yeh
University of North Carolina at Chapel Hill

Jeong-Mo Hong
Dongguk University

Ming C. Lin
University of North Carolina at Chapel Hill

Dinesh Manocha
University of North Carolina at Chapel Hill

A Practical Simulation of Dispersed Bubble Flow

This paper introduces a new framework for simulating dispersed bubble flow. In this method, average motion of bubbles is approximated as a continuum, while the sub-grid interactions among bubbles are computed using a new stochastic solver. Using this method, complex scenes with millions of bubbles can be simulated efficiently.

Doyub Kim
Seoul National University

Oy-young Song
Sejong University

Hyeong-Seok Ko
Seoul National University

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