article

Eikonal rendering: efficient light transport in refractive objects

Authors:

Gernot Ziegler,

Christian Theobalt,

Hans-Peter SeidelAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 26, Issue 3

Pages 59 - es

https://doi.org/10.1145/1276377.1276451

Published: 29 July 2007 Publication History

Abstract

We present a new method for real-time rendering of sophisticated lighting effects in and around refractive objects. It enables us to realistically display refractive objects with complex material properties, such as arbitrarily varying refractive index, inhomogeneous attenuation, as well as spatially-varying anisotropic scattering and reflectance properties. User-controlled changes of lighting positions only require a few seconds of update time. Our method is based on a set of ordinary differential equations derived from the eikonal equation, the main postulate of geometric optics. This set of equations allows for fast casting of bent light rays with the complexity of a particle tracer. Based on this concept, we also propose an efficient light propagation technique using adaptive wavefront tracing. Efficient GPU implementations for our algorithmic concepts enable us to render a combination of visual effects that were previously not reproducible in real-time.

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Index Terms

Eikonal rendering: efficient light transport in refractive objects
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

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Information

Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 26, Issue 3

July 2007

976 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1276377

Issue’s Table of Contents

Copyright © 2007 ACM.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2007

Published in TOG Volume 26, Issue 3

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Hill PAnantrasirichai NAchim ABull D(2025)Deep learning techniques for atmospheric turbulence removal: a reviewArtificial Intelligence Review10.1007/s10462-024-11086-658:4Online publication date: 25-Jan-2025
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Cai YQiu JLi ZRen B(2024)NeuralTO: Neural Reconstruction and View Synthesis of Translucent ObjectsACM Transactions on Graphics10.1145/365818643:4(1-14)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658186
Liang XWang JLu YDuan XLiu XZheng NGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)Refracting Once is Enough: Neural Radiance Fields for Novel-View Synthesis of Real Refractive ObjectsProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658000(694-703)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3658000
Deng WCampbell DSun CKanitkar SShaffer MGould S(2024)Ray Deformation Networks for Novel View Synthesis of Refractive Objects2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00309(3106-3116)Online publication date: 3-Jan-2024
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Potter SCameron MDuraiswami R(2023)Numerical geometric acoustics: An eikonal-based approach for modeling sound propagation in 3D environmentsJournal of Computational Physics10.1016/j.jcp.2023.112111486(112111)Online publication date: Aug-2023
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