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Research Article | Open Access

Fast raycasting using a compound deep image for virtual point light range determination

Jesse Archer1( ), Geoff Leach1, Pyarelal Knowles1
School of Science, RMIT University, Melbourne, 3000, Australia.
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Abstract

The concept of using multiple deep images, under a variety of different names, has been explored as a possible acceleration approach for finding ray-geometry intersections. We leverage recent advances in deep image processing from order independent transparency for fast building of a compound deep image (CDI ) using a coherent memory format well suited for raycasting. We explore the use of a CDI and raycasting for the problem of determining distance between virtual point lights (VPLs) and geometry for indirect lighting, with the key raycasting step being a small fraction of total frametime.

Keywords

deep imageindirect lightingraycasting

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41095_2019_144_MOESM1_ESM.mp4

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Computational Visual Media
Volume 5 Issue 3,
September 2019
Pages 257-265
DOI: 10.1007/s41095-019-0144-1
Cite this article:
Archer J, Leach G, Knowles P. Fast raycasting using a compound deep image for virtual point light range determination. Computational Visual Media, 2019, 5(3): 257-265. https://doi.org/10.1007/s41095-019-0144-1

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Revised: 04 March 2019
Accepted: 06 May 2019
Published: 24 May 2019
© The author(s) 2019

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