Rendering Discrete Participating Media with Geometrical Optics Approximation

by   Jie Guo, et al.

We consider the scattering of light in participating media composed of sparsely and randomly distributed discrete particles. The particle size is expected to range from the scale of the wavelength to the scale several orders of magnitude greater than the wavelength, and the appearance shows distinct graininess as opposed to the smooth appearance of continuous media. One fundamental issue in physically-based synthesizing this appearance is to determine necessary optical properties in every local region. Since these optical properties vary spatially, we resort to geometrical optics approximation (GOA), a highly efficient alternative to rigorous Lorenz-Mie theory, to quantitatively represent the scattering of a single particle. This enables us to quickly compute bulk optical properties according to any particle size distribution. Then, we propose a practical Monte Carlo rendering solution to solve the transfer of energy in discrete participating media. Results show that for the first time our proposed framework can simulate a wide range of discrete participating media with different levels of graininess and converges to continuous media as the particle concentration increases.



There are no comments yet.


page 5

page 6

page 8

page 9

page 10

page 11

page 19


A Physically Plausible Model for Rendering Highly Scattering Fluorescent Participating Media

We present a novel extension of the path tracing algorithm that is capab...

A Radiative Transfer Framework for Spatially-Correlated Materials

We introduce a non-exponential radiative framework that takes into accou...

A Monte Carlo Framework for Rendering Speckle Statistics in Scattering Media

We present a Monte Carlo rendering framework for the physically-accurate...

Numerical Methods for Flow in Fractured Porous Media

In this work we present the mathematical models for single-phase flow in...

Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations

In this paper, we study the mathematical imaging problem of optical diff...

Bayesian Analysis of Static Light Scattering Data for Globular Proteins

Static light scattering is a popular physical chemistry technique that e...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.