Machine-readable universal data format for bidirectional reflectance distribution function and BiRDview—An open-source web-based application for viewing and comparing bidirectional reflectance data

Dmitri Lanevski (Corresponding Author), Alejandro Ferrero, Esther Perales, Farshid Manoocheri, Erkki Ikonen

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Modern studies of bidirectional reflectance distribution function (BRDF) and its applications using data and machine-driven science require formatting of BRDF data according to Findable, accessible, interoperable and reusable (FAIR) data principles. As a solution a FAIR universal BRDF file-format based on Java Script Object Notation (JSON) is proposed. JSON principles as well as file structure are explained and examples are given. Automatic validation of universal BRDF file format is realized with the help of JSON schema. Furthermore, the source code and accompanying documentation are presented in dedicated supporting material files. It is expected that after its wide adoption, the proposed BRDF file format will enhance collaboration between different research groups and benefit machine-driven science. The uptake is facilitated by introducing a BiRDview—a modern open-source web-based application for BRDF visualization.

Original languageEnglish
JournalColor Research and Application
DOIs
Publication statusE-pub ahead of print - 11 Mar 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • appearance
  • BRDF
  • FAIR
  • machine vision
  • visualization

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