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Real-time rendering of rough refraction.

Charles de Rousiers1, Adrien Bousseau, Kartic Subr

  • 1University of California, Berkeley, CA, USA. charles.derousiers@gmail.com

IEEE Transactions on Visualization and Computer Graphics
|December 7, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a real-time rendering algorithm for transparent objects with rough surfaces. The method efficiently handles light scattering, improving visual realism for complex materials.

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Area of Science:

  • Computer Graphics
  • Rendering Techniques
  • Material Simulation

Background:

  • Rendering transparent materials with rough surfaces presents significant challenges due to complex light scattering.
  • Accurate simulation of subsurface scattering and surface interactions is computationally intensive.
  • Existing methods struggle to achieve real-time performance for these effects.

Purpose of the Study:

  • To develop a real-time algorithm for rendering transparent objects with rough surfaces.
  • To approximate complex light scattering phenomena caused by rough interfaces.
  • To enable efficient and visually plausible rendering of such materials under distant illumination.

Main Methods:

  • Approximation of the Bidirectional Transmittance Distribution Function (BTDF) using spherical Gaussians for efficient preconvolution.
  • Integration of cone tracing and macrogeometry filtering to handle scattered rays at object interfaces.
  • Comparison against stochastic ray tracing to validate the accuracy of the proposed approximations.

Main Results:

  • The proposed algorithm achieves real-time rendering performance for transparent objects with rough surfaces.
  • The BTDF approximation effectively models scattering effects.
  • The combination of cone tracing and macrogeometry filtering efficiently integrates scattered light.

Conclusions:

  • The developed algorithm provides a significant advancement in real-time rendering of complex transparent materials.
  • The method offers a balance between visual fidelity and computational efficiency.
  • Extensions for spatially varying roughness and local lighting enhance its applicability.