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Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality
Virtual reality (VR) technology offers vision researchers the opportunity to conduct immersive studies in simulated real-world scenes. However, an accurate colour calibration of the VR head mounted display (HMD), both in terms of luminance and chromaticity, is required to precisely control the prese...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551135/ https://www.ncbi.nlm.nih.gov/pubmed/34778840 http://dx.doi.org/10.1007/s42979-021-00855-7 |
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author | Gil Rodríguez, Raquel Bayer, Florian Toscani, Matteo Guarnera, Dar’ya Guarnera, Giuseppe Claudio Gegenfurtner, Karl R. |
author_facet | Gil Rodríguez, Raquel Bayer, Florian Toscani, Matteo Guarnera, Dar’ya Guarnera, Giuseppe Claudio Gegenfurtner, Karl R. |
author_sort | Gil Rodríguez, Raquel |
collection | PubMed |
description | Virtual reality (VR) technology offers vision researchers the opportunity to conduct immersive studies in simulated real-world scenes. However, an accurate colour calibration of the VR head mounted display (HMD), both in terms of luminance and chromaticity, is required to precisely control the presented stimuli. Such a calibration presents significant new challenges, for example, due to the large field of view of the HMD, or the software implementation used for scene rendering, which might alter the colour appearance of objects. Here, we propose a framework for calibrating an HMD using an imaging colorimeter, the I29 (Radiant Vision Systems, Redmond, WA, USA). We examine two scenarios, both with and without using a rendering software for visualisation. In addition, we present a colour constancy experiment design for VR through a gaming engine software, Unreal Engine 4. The colours of the objects of study are chosen according to the previously defined calibration. Results show a high-colour constancy performance among participants, in agreement with recent studies performed on real-world scenarios. Our studies show that our methodology allows us to control and measure the colours presented in the HMD, effectively enabling the use of VR technology for colour vision research. |
format | Online Article Text |
id | pubmed-8551135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-85511352021-11-10 Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality Gil Rodríguez, Raquel Bayer, Florian Toscani, Matteo Guarnera, Dar’ya Guarnera, Giuseppe Claudio Gegenfurtner, Karl R. SN Comput Sci Original Research Virtual reality (VR) technology offers vision researchers the opportunity to conduct immersive studies in simulated real-world scenes. However, an accurate colour calibration of the VR head mounted display (HMD), both in terms of luminance and chromaticity, is required to precisely control the presented stimuli. Such a calibration presents significant new challenges, for example, due to the large field of view of the HMD, or the software implementation used for scene rendering, which might alter the colour appearance of objects. Here, we propose a framework for calibrating an HMD using an imaging colorimeter, the I29 (Radiant Vision Systems, Redmond, WA, USA). We examine two scenarios, both with and without using a rendering software for visualisation. In addition, we present a colour constancy experiment design for VR through a gaming engine software, Unreal Engine 4. The colours of the objects of study are chosen according to the previously defined calibration. Results show a high-colour constancy performance among participants, in agreement with recent studies performed on real-world scenarios. Our studies show that our methodology allows us to control and measure the colours presented in the HMD, effectively enabling the use of VR technology for colour vision research. Springer Singapore 2021-10-27 2022 /pmc/articles/PMC8551135/ /pubmed/34778840 http://dx.doi.org/10.1007/s42979-021-00855-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Gil Rodríguez, Raquel Bayer, Florian Toscani, Matteo Guarnera, Dar’ya Guarnera, Giuseppe Claudio Gegenfurtner, Karl R. Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality |
title | Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality |
title_full | Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality |
title_fullStr | Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality |
title_full_unstemmed | Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality |
title_short | Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality |
title_sort | colour calibration of a head mounted display for colour vision research using virtual reality |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551135/ https://www.ncbi.nlm.nih.gov/pubmed/34778840 http://dx.doi.org/10.1007/s42979-021-00855-7 |
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