1 / 9

Simplification of Scene Geometry for Sound Propagation

Simplification of Scene Geometry for Sound Propagation Sachin Patil Existing Sound Propagation Approaches : Limitations Several methods available for sound propagation

Gabriel
Download Presentation

Simplification of Scene Geometry for Sound Propagation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Simplification of Scene Geometry for Sound Propagation Sachin Patil

  2. Existing Sound Propagation Approaches : Limitations • Several methods available for sound propagation • Too slow for real-time sound propagation taking into account the increasing scene complexity, dynamic environments and multiplicity of sources/listeners • Acceleration techniques : Culling structures like BSP-trees, SIMD hacks, GPU implementations are no longer sufficient • Most VR systems do not allocate a large chunk of resources for handling sound • Solve the sound propagation problem for simplified scenes • Introduces the need for defining a metric for measuring acoustic fidelity

  3. Commercial acoustic simulation software ‘Glue Surface’ option provided by ODEON (www.odeon.dk) for manipulating CAD models for acoustic simulations

  4. It’s a jungle out there Taxonomy of Geometry Reduction techniques [1]

  5. Criterion for geometry reduction for acoustics • Absorption coefficients for polygonal faced in the scene : controlling error while blending and simplification • Rough surfaces account for diffuse reflection and scattering • Volume and total absorption area must be preserved as various parameters such as reverberation time heavily dependent on these criteria • For handling reflections correctly, surface normals must be preserved as accurately as possible • Features comparable to the wavelength of the sound must be preserved

  6. Issues • Tradeoffs between: • Cost of simplification and sound propagation • Offline simplification versus real-time simplification • Ease of implementation of the proposed approach • Local reduction of features versus global simplification

  7. Project goals • Given a simplified scene, how different is the sound ‘quality’ as compared to the original • Could be statistical, acoustic metrics or perceptual user studies • Planning to use an industry standard benchmark for acoustic measurements such as CATT, ODEON • Given such a metric, how and by how much can one simplify a given scene geometry without perceptual differences in ‘quality’ • Progressive simplification and LOD: Providing frame-rate guarantees given the resources available for sound simulation and propagation

  8. Project roadmap and deliverables • Use existing libraries to simplify scene geometry and carry out initial tests using CATT to determine an error metric for measuring acoustic fidelity • Study existing methods for geometry simplification and choose an existing approach/ propose a novel approach to solve this problem • Integration with existing work : Sound propagation using ray-frusta tracing / adaptive rectangular decomposition

  9. References • Geometry Reduction in Room Acoustics Modeling: Samuel Siltanen • Significant Facet Retrieval for Real-Time 3D Sound Rendering in Complex Virtual Environments: C.Joslin, M.Thalmann • Instant Sound Scattering: N.Tsingos, C.Dachsbacher, S.Lefebvre, M.Dellepiane • Interactions of Model Detail Level and Scattering Coefficients in Room Acoustic Computer Simulation: L.Wang, J.Rathsam, J.Rindel

More Related