Aniva Light House (Маяк Анива) ...
Aniva Lighthouse, Sakhalin (Маяк Анива) was scanned in an exercise to determine the viabiltiy of crowdsourcing photographs and videos to generate accurate digital replicas. Frames from mulitple 1080p and 4k videos obtained from youtube were utilised in addition to many indiviudual photographs from s...
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2021
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Online Access: | https://dx.doi.org/10.5281/zenodo.10268516 https://zenodo.org/doi/10.5281/zenodo.10268516 |
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ftdatacite:10.5281/zenodo.10268516 2024-02-04T10:04:15+01:00 Aniva Light House (Маяк Анива) ... jimmy_jee 2021 https://dx.doi.org/10.5281/zenodo.10268516 https://zenodo.org/doi/10.5281/zenodo.10268516 unknown Zenodo https://dx.doi.org/10.5281/zenodo.10268517 Creative Commons Attribution 1.0 Generic https://creativecommons.org/licenses/by/1.0/legalcode cc-by-1.0 Dataset dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.1026851610.5281/zenodo.10268517 2024-01-05T12:26:12Z Aniva Lighthouse, Sakhalin (Маяк Анива) was scanned in an exercise to determine the viabiltiy of crowdsourcing photographs and videos to generate accurate digital replicas. Frames from mulitple 1080p and 4k videos obtained from youtube were utilised in addition to many indiviudual photographs from sources such as instagram and google images. Variations in the focal lengths and sensor size of the different cameras used to capture the source images meant manual aligntment of chunks was necessary to generate the raw model in metashape. Clean up was completed in blender and certain photographs that could not be aligned in metashape were manually projected onto the model for texture detail. Additionally fine detail areas of the lighthouse that could not be captured in metashape due to the limited resolution and compression of the youtube sources (such as the circular hand rail), were modeled in blender. Source: Objaverse 1.0 / Sketchfab ... Dataset Sakhalin DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
description |
Aniva Lighthouse, Sakhalin (Маяк Анива) was scanned in an exercise to determine the viabiltiy of crowdsourcing photographs and videos to generate accurate digital replicas. Frames from mulitple 1080p and 4k videos obtained from youtube were utilised in addition to many indiviudual photographs from sources such as instagram and google images. Variations in the focal lengths and sensor size of the different cameras used to capture the source images meant manual aligntment of chunks was necessary to generate the raw model in metashape. Clean up was completed in blender and certain photographs that could not be aligned in metashape were manually projected onto the model for texture detail. Additionally fine detail areas of the lighthouse that could not be captured in metashape due to the limited resolution and compression of the youtube sources (such as the circular hand rail), were modeled in blender. Source: Objaverse 1.0 / Sketchfab ... |
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Dataset |
author |
jimmy_jee |
spellingShingle |
jimmy_jee Aniva Light House (Маяк Анива) ... |
author_facet |
jimmy_jee |
author_sort |
jimmy_jee |
title |
Aniva Light House (Маяк Анива) ... |
title_short |
Aniva Light House (Маяк Анива) ... |
title_full |
Aniva Light House (Маяк Анива) ... |
title_fullStr |
Aniva Light House (Маяк Анива) ... |
title_full_unstemmed |
Aniva Light House (Маяк Анива) ... |
title_sort |
aniva light house (маяк анива) ... |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.10268516 https://zenodo.org/doi/10.5281/zenodo.10268516 |
genre |
Sakhalin |
genre_facet |
Sakhalin |
op_relation |
https://dx.doi.org/10.5281/zenodo.10268517 |
op_rights |
Creative Commons Attribution 1.0 Generic https://creativecommons.org/licenses/by/1.0/legalcode cc-by-1.0 |
op_doi |
https://doi.org/10.5281/zenodo.1026851610.5281/zenodo.10268517 |
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1789972375732748288 |