research-article

Predicting Appearance from Measured Microgeometry of Metal Surfaces

Authors:

Steve Marschner,

Donald P. GreenbergAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 35, Issue 1

Article No.: 9, Pages 1 - 13

https://doi.org/10.1145/2815618

Published: 29 December 2015 Publication History

Abstract

The visual appearance of many materials is created by micro-scale details of their surface geometry. In this article, we investigate a new approach to capturing the appearance of metal surfaces without reflectance measurements, by deriving microfacet distributions directly from measured surface topography. Modern profilometers are capable of measuring surfaces with subwavelength resolution at increasingly rapid rates. We consider both wave- and geometric-optics methods for predicting BRDFs of measured surfaces and compare the results to optical measurements from a gonioreflectometer for five rough metal samples. Surface measurements are also used to predict spatial variation, or texture, which is especially important for the appearance of our anisotropic brushed metal samples.

Profilometer-based BRDF acquisition offers many potential advantages over traditional techniques, including speed and easy handling of anisotropic, highly directional materials. We also introduce a new generalized normal distribution function, the ellipsoidal NDF, to compactly represent nonsymmetric features in our measured data and texture synthesis.

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 35, Issue 1

December 2015

150 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2870647

Editor:
Kavita Bala
Cornell University

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Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 29 December 2015

Accepted: 01 August 2015

Revised: 01 May 2015

Received: 01 November 2014

Published in TOG Volume 35, Issue 1

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Lucas SRibardière MPacanowski RBarla P(2024)A Fully-correlated Anisotropic Micrograin BSDF ModelACM Transactions on Graphics10.1145/365822443:4(1-14)Online publication date: 19-Jul-2024
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