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...

Full description

Bibliographic Details
Main Author: jimmy_jee
Format: Dataset
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.10268517
https://zenodo.org/doi/10.5281/zenodo.10268517
id ftdatacite:10.5281/zenodo.10268517
record_format openpolar
spelling ftdatacite:10.5281/zenodo.10268517 2024-02-04T10:04:15+01:00 Aniva Light House (Маяк Анива) ... jimmy_jee 2021 https://dx.doi.org/10.5281/zenodo.10268517 https://zenodo.org/doi/10.5281/zenodo.10268517 unknown Zenodo https://dx.doi.org/10.5281/zenodo.10268516 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.1026851710.5281/zenodo.10268516 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)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id 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 ...
format 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.10268517
https://zenodo.org/doi/10.5281/zenodo.10268517
genre Sakhalin
genre_facet Sakhalin
op_relation https://dx.doi.org/10.5281/zenodo.10268516
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.1026851710.5281/zenodo.10268516
_version_ 1789972375549247488