Extended path integral formulation for volumetric transport

1The University of Tokyo 2Solid Angle 3Dartmouth College 4Charles University in Prague 5McGill University

In Proceedings of EGSR (Experimental Ideas & Implementations), 2017

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Abstract

We propose an extension of the path integral formulation amenable to the expression of volumetric light transport with photon beam estimates. Our main contribution is a generalization of Hachisuka et al.'s [2012] extended path space formulation to light transport in participating media. Our formulation supports various point- and beam-based volumetric density estimators, unifying them with path integration in the spirit of the work by Křivánek et al. [2014]. One unique and useful property of our formulation is that it recasts beam-based density estimation as Monte Carlo path vertex sampling in a higher-dimensional space, rather than beam merging in a lower-dimensional space, which enables a practical algorithm for beam estimators with 3D-blur kernels. We thus establish a complementary theoretical foundation for the development of rendering algorithms using points, beams, and paths in participating media.

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Toshiya Hachisuka, Iliyan Georgiev, Wojciech Jarosz, Jaroslav Křivánek, Derek Nowrouzezahrai. Extended path integral formulation for volumetric transport. Proceedings of EGSR (Experimental Ideas & Implementations), June 2017.
@inproceedings{hachisuka17extended,
    author    = {Hachisuka, Toshiya and Georgiev, Iliyan and Jarosz, Wojciech and K\v riv\'anek, Jaroslav and
                 Nowrouzezahrai, Derek},
    title     = {Extended Path Integral Formulation for Volumetric Transport},
    booktitle = {Proceedings of EGSR (Experimental Ideas \\& Implementations)},
    year      = {2017},
    month     = jun,
    publisher = {The Eurographics Association},
    doi       = {10/gfznb3}
}
© The Author(s). This is the author's version of the work. It is posted here by permission of The Eurographics Association for your personal use. Not for redistribution. The definitive version is available at diglib.eg.org.