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Research Article | Open Access

Instantaneous foveated preview for progressive Monte Carlo rendering

Tampere University of Technology, Tampere, 33720, Finland.
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Abstract

Progressive rendering, for example Monte Carlo rendering of 360∘ content for virtual reality headsets, is a time-consuming task. If the 3D artist notices an error while previewing the rendering, they must return to editing mode, make the required changes, and restart rendering. We propose the use of eye-tracking-based optimization to significantly speed up previewing of the artist’s points of interest. The speed of the preview is further improved by sampling with a distribution that closely follows the experimentally measured visual acuity of the human eye, unlike the piecewise linear models used in previous work. In a comprehensive user study, the perceived convergence of our proposed method was 10 times faster than that of a conventional preview, and often appeared to be instantaneous. In addition, the participants rated the method to have only marginally more artifacts in areas where it had to start rendering from scratch, compared to conventional rendering methods that had already generated image content in those areas.

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Computational Visual Media
Pages 267-276

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Cite this article:
Koskela MK, Immonen KV, Viitanen TT, et al. Instantaneous foveated preview for progressive Monte Carlo rendering. Computational Visual Media, 2018, 4(3): 267-276. https://doi.org/10.1007/s41095-018-0113-0

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Revised: 23 December 2017
Accepted: 17 February 2018
Published: 04 April 2018
© The Author(s) 2018

This article is published with open access at Springerlink.com

The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www. editorialmanager.com/cvmj.