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GPU-based light wavefront simulation for real-time refractive object rendering

Published: 05 August 2007 Publication History

Abstract

In our paper on Eikonal Rendering [1], presented in the SIGGRAPH 2007 main paper program, we propose a novel algorithm to render a variety of sophisticated lighting effects in and around refractive objects in real-time on a single PC. Our method enables us to realistically display objects with spatially-varying refractive indices, inhomogeneous attenuation characteristics, as well as well as spatially-varying reflectance and anisotropic scattering properties. We can reproduce arbitrarily curved light paths, volume and surface caustics, anisotropic scattering as well as total reflection by means of the same efficient theoretical framework. In our approach, scenes are represented volumetrically. One core component of our method is a fast GPU particle tracer to compute viewing ray trajectories. It uses ordinary differential equations derived from the eikonal equation. The second important component is a light simulator, which utilizes a similar ODE-based framework to adaptively trace light wavefronts through the scene in a few seconds. While the conference paper [1] focuses on the development of the theory and the validation of our results, this sketch describes in detail the new concepts and data structures that we developed to implement view rendering and light wavefront tracing on the GPU (see figure 1 for a stage overview).

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References

[1]
I. Ihrke, G. Ziegler, A. Tevs, C. Theobalt, M. Magnor and H-P. Seidel: Eikonal Rendering: Efficient Light Transport in Refractive Objects. Proc. ACM SIGGRAPH 2007 (to be published).
[2]
G. Ziegler, A. Tevs, C. Theobalt and H-P. Seidel. GPU Point List Generation through Histogram Pyramids. Technical Reports of the MPI for Informatics, June 2006, MPI-I-2006-4-002.

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cover image ACM Conferences
SIGGRAPH '07: ACM SIGGRAPH 2007 sketches
August 2007
94 pages
ISBN:9781450347266
DOI:10.1145/1278780
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 05 August 2007

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