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CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes
Revealing the functioning of compound eyes is of interest to biologists and engineers alike who wish to understand how visually complex behaviours (e.g. detection, tracking, and navigation) arise in nature, and to abstract concepts to develop novel artificial sensory systems. A key investigative met...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605689/ https://www.ncbi.nlm.nih.gov/pubmed/36226912 http://dx.doi.org/10.7554/eLife.73893 |
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author | Millward, Blayze Maddock, Steve Mangan, Michael |
author_facet | Millward, Blayze Maddock, Steve Mangan, Michael |
author_sort | Millward, Blayze |
collection | PubMed |
description | Revealing the functioning of compound eyes is of interest to biologists and engineers alike who wish to understand how visually complex behaviours (e.g. detection, tracking, and navigation) arise in nature, and to abstract concepts to develop novel artificial sensory systems. A key investigative method is to replicate the sensory apparatus using artificial systems, allowing for investigation of the visual information that drives animal behaviour when exposed to environmental cues. To date, ‘compound eye models’ (CEMs) have largely explored features such as field of view and angular resolution, but the role of shape and overall structure have been largely overlooked due to modelling complexity. Modern real-time ray-tracing technologies are enabling the construction of a new generation of computationally fast, high-fidelity CEMs. This work introduces a new open-source CEM software (CompoundRay) that is capable of accurately rendering the visual perspective of bees (6000 individual ommatidia arranged on 2 realistic eye surfaces) at over 3000 frames per second. We show how the speed and accuracy facilitated by this software can be used to investigate pressing research questions (e.g. how low resolution compound eyes can localise small objects) using modern methods (e.g. machine learning-based information exploration). |
format | Online Article Text |
id | pubmed-9605689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-96056892022-10-27 CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes Millward, Blayze Maddock, Steve Mangan, Michael eLife Computational and Systems Biology Revealing the functioning of compound eyes is of interest to biologists and engineers alike who wish to understand how visually complex behaviours (e.g. detection, tracking, and navigation) arise in nature, and to abstract concepts to develop novel artificial sensory systems. A key investigative method is to replicate the sensory apparatus using artificial systems, allowing for investigation of the visual information that drives animal behaviour when exposed to environmental cues. To date, ‘compound eye models’ (CEMs) have largely explored features such as field of view and angular resolution, but the role of shape and overall structure have been largely overlooked due to modelling complexity. Modern real-time ray-tracing technologies are enabling the construction of a new generation of computationally fast, high-fidelity CEMs. This work introduces a new open-source CEM software (CompoundRay) that is capable of accurately rendering the visual perspective of bees (6000 individual ommatidia arranged on 2 realistic eye surfaces) at over 3000 frames per second. We show how the speed and accuracy facilitated by this software can be used to investigate pressing research questions (e.g. how low resolution compound eyes can localise small objects) using modern methods (e.g. machine learning-based information exploration). eLife Sciences Publications, Ltd 2022-10-13 /pmc/articles/PMC9605689/ /pubmed/36226912 http://dx.doi.org/10.7554/eLife.73893 Text en © 2022, Millward et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Millward, Blayze Maddock, Steve Mangan, Michael CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes |
title | CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes |
title_full | CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes |
title_fullStr | CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes |
title_full_unstemmed | CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes |
title_short | CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes |
title_sort | compoundray, an open-source tool for high-speed and high-fidelity rendering of compound eyes |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605689/ https://www.ncbi.nlm.nih.gov/pubmed/36226912 http://dx.doi.org/10.7554/eLife.73893 |
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