ACM SIGGRAPH 2009 Courses
Precomputed wave simulation for real-time sound propagation of dynamic sources in complex scenes
ACM SIGGRAPH 2010 papers
High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster
Journal of Computational Physics
Interactive sound propagation using compact acoustic transfer operators
ACM Transactions on Graphics (TOG)
Tabletop Ensemble: touch-enabled virtual percussion instruments
I3D '12 Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Acoustic Rendering and Auditory–Visual Cross-Modal Perception and Interaction
Computer Graphics Forum
Wave-based sound propagation in large open scenes using an equivalent source formulation
ACM Transactions on Graphics (TOG)
SPREAD: sound propagation and perception for autonomous agents in dynamic environments
Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Wave-ray coupling for interactive sound propagation in large complex scenes
ACM Transactions on Graphics (TOG)
Sound localization and multi-modal steering for autonomous virtual agents
Proceedings of the 18th meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
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Accurate sound rendering can add significant realism to complement visual display in interactive applications, as well as facilitate acoustic predictions for many engineering applications, like accurate acoustic analysis for architectural design [CHECK END OF SENTENCE]. Numerical simulation can provide this realism most naturally by modeling the underlying physics of wave propagation. However, wave simulation has traditionally posed a tough computational challenge. In this paper, we present a technique which relies on an adaptive rectangular decomposition of 3D scenes to enable efficient and accurate simulation of sound propagation in complex virtual environments. It exploits the known analytical solution of the Wave Equation in rectangular domains, and utilizes an efficient implementation of the Discrete Cosine Transform on Graphics Processors (GPU) to achieve at least a 100-fold performance gain compared to a standard Finite-Difference Time-Domain (FDTD) implementation with comparable accuracy, while also being 10-fold more memory efficient. Consequently, we are able to perform accurate numerical acoustic simulation on large, complex scenes in the kilohertz range. To the best of our knowledge, it was not previously possible to perform such simulations on a desktop computer. Our work thus enables acoustic analysis on large scenes and auditory display for complex virtual environments on commodity hardware.