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Research Article | Open Access

Practical BRDF reconstruction using reliable geometric regions from multi-view stereo

Taishi Ono1, Hiroyuki Kubo1( ), Kenichiro Tanaka1, Takuya Funatomi1, Yasuhiro Mukaigawa1
Nara Institute of Science and Technology, Ikoma, Nara 630-0192, Japan.
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Abstract

In this paper, we present a practical methodfor reconstructing the bidirectional reflectance distribu-tion function (BRDF) from multiple images of a real object composed of a homogeneous material. The key idea is that the BRDF can be sampled after geometry estimation using multi-view stereo (MVS) techniques. Our contribution is selection of reliable samples of lighting, surface normal, and viewing directions for robustness against estimation errors of MVS. Our method is quantitatively evaluated using synthesized images and its effectiveness is shown via real-world experiments.

Keywords

BRDF reconstructionmulti-view stereo (MVS)photogrammetryrendering

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Computational Visual Media
Volume 5 Issue 4,
December 2019
Pages 325-336
DOI: 10.1007/s41095-019-0150-3

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Cite this article:
Ono T, Kubo H, Tanaka K, et al. Practical BRDF reconstruction using reliable geometric regions from multi-view stereo. Computational Visual Media, 2019, 5(4): 325-336. https://doi.org/10.1007/s41095-019-0150-3

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Revised: 06 May 2018
Accepted: 27 June 2019
Published: 22 August 2019
© The author(s) 2019

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