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; Alejandro Ferrero; Esther Perales; Farshid Manoocheri; Erkki Ikonen

doi:10.1002/col.22790

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

BA66 National metrology institute VTT MIKES

Research output: Contribution to journal › Article › Scientific › peer-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 language	English
Journal	Color Research and Application
DOIs	https://doi.org/10.1002/col.22790
Publication status	E-pub ahead of print - 11 Mar 2022
MoE publication type	A1 Journal article-refereed

Keywords

appearance
BRDF
FAIR
machine vision
visualization

Access to Document

10.1002/col.22790Licence: CC BY-NC

Cite this

@article{bc17aa2fb3d74133bfd91c87c78e9b86,

title = "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",

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.",

keywords = "appearance, BRDF, FAIR, machine vision, visualization",

author = "Dmitri Lanevski and Alejandro Ferrero and Esther Perales and Farshid Manoocheri and Erkki Ikonen",

note = "Funding Information: This work has been done in the frame of the projects 16NRM08 BiRD and 18SIB03 BxDiff, that have received funding from the EMPIR programme co‐financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme. The work has also been supported by the Academy of Finland Flagship Programme, Photonics Research and Innovation (PREIN), decision number: 320167. Publisher Copyright: {\textcopyright} 2022 The Authors. Color Research and Application published by Wiley Periodicals LLC.",

year = "2022",

month = mar,

day = "11",

doi = "10.1002/col.22790",

language = "English",

journal = "Color Research and Application",

issn = "0361-2317",

publisher = "Wiley",

}

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

In: Color Research and Application, 11.03.2022.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - 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

AU - Lanevski, Dmitri

AU - Ferrero, Alejandro

AU - Perales, Esther

AU - Manoocheri, Farshid

AU - Ikonen, Erkki

N1 - Funding Information: This work has been done in the frame of the projects 16NRM08 BiRD and 18SIB03 BxDiff, that have received funding from the EMPIR programme co‐financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme. The work has also been supported by the Academy of Finland Flagship Programme, Photonics Research and Innovation (PREIN), decision number: 320167. Publisher Copyright: © 2022 The Authors. Color Research and Application published by Wiley Periodicals LLC.

PY - 2022/3/11

Y1 - 2022/3/11

N2 - 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.

AB - 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.

KW - appearance

KW - BRDF

KW - FAIR

KW - machine vision

KW - visualization

UR - http://www.scopus.com/inward/record.url?scp=85126071139&partnerID=8YFLogxK

U2 - 10.1002/col.22790

DO - 10.1002/col.22790

M3 - Article

AN - SCOPUS:85126071139

JO - Color Research and Application

JF - Color Research and Application

SN - 0361-2317

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this