Diffraction Kernels for Interactive Sound Propagation in Dynamic Environments
Atul Rungta
Carl Schissler
Nicholas Rewkowski
Ravish Mehra
Dinesh Manocha
University of North Carolina at Chapel Hill & Oculus Research
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Abstract
We present a novel method to generate plausible diffraction effects for interactive sound propagation in dynamic scenes. Our approach precomputes a diffraction kernel for each dynamic object in the scene and combines them with interactive ray tracing algorithms at runtime. A diffraction kernel encapsulates the sound interaction behavior of individual objects in the free field and we present a new source placement algorithm to significantly accelerate the precomputation. Our overall propagation algorithm can handle highly-tessellated or smooth objects undergoing rigid motion. We have evaluated our algorithm’s performance on different scenarios with multiple moving objects and demonstrate the benefits over prior interactive geometric sound propagation methods. We also performed a user study to evaluate the perceived smoothness of the diffracted field and found that the auditory perception using our approach is comparable to that of a wave-based sound propagation method.
Atul Rungta, Carl Schissler, Nicholas Rewkowski, Ravish Mehra, and Dinesh Manocha. Diffraction Kernels for Interactive Sound Propagation in Dynamic Environments
Preprint (PDF, 18.8 MB), (IEEE VR 2018, Proceedings of IEEE TVCG)