Optical and Electromechanical Design and Implementation of an Advanced Multispectral Device to Capture Material Appearance

Author:

Ansari-Asl Majid1ORCID,Barbieri Markus2,Obein Gaël3ORCID,Hardeberg Jon Yngve1ORCID

Affiliation:

1. Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway

2. Barbieri Electronic snc, 39042 Bressanone, Italy

3. Laboratoire National de Métrologie et d’Essais, Conservatoire National des Arts et Métiers, 93210 La Plaine St Denis, France

Abstract

The application of materials with changing visual properties with lighting and observation directions has found broad utility across diverse industries, from architecture and fashion to automotive and film production. The expanding array of applications and appearance reproduction requirements emphasizes the critical role of material appearance measurement and surface characterization. Such measurements offer twofold benefits in soft proofing and product quality control, reducing errors and material waste while providing objective quality assessment. Some image-based setups have been proposed to capture the appearance of material surfaces with spatial variations in visual properties in terms of Spatially Varying Bidirectional Reflectance Distribution Functions (SVBRDF) and Bidirectional Texture Functions (BTF). However, comprehensive exploration of optical design concerning spectral channels and per-pixel incident-reflection direction calculations, along with measurement validation, remains an unexplored domain within these systems. Therefore, we developed a novel advanced multispectral image-based device designed to measure SVBRDF and BTF, addressing these gaps in the existing literature. Central to this device is a novel rotation table as sample holder and passive multispectral imaging. In this paper, we present our compact multispectral image-based appearance measurement device, detailing its design, assembly, and optical considerations. Preliminary measurements showcase the device’s potential in capturing angular and spectral data, promising valuable insights into material appearance properties.

Funder

European Union

Publisher

MDPI AG

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