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Pigs: A stepwise RGB-D novel pig carcass cutting dataset

This paper presents a pig carcass cutting dataset, captured from a bespoke frame structure with 6 Intel® RealSense™ Depth Camera D415 cameras attached, and later recorded from a single camera attached to a robotic arm cycling through the positions previously defined by the frame structure. The data...

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Detalles Bibliográficos
Autores principales: de Medeiros Esper, Ian, Cordova-Lopez, Luiz Eduardo, Romanov, Dmytro, Alvseike, Ole, From, Pål Johan, Mason, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866887/
https://www.ncbi.nlm.nih.gov/pubmed/35242927
http://dx.doi.org/10.1016/j.dib.2022.107945
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author de Medeiros Esper, Ian
Cordova-Lopez, Luiz Eduardo
Romanov, Dmytro
Alvseike, Ole
From, Pål Johan
Mason, Alex
author_facet de Medeiros Esper, Ian
Cordova-Lopez, Luiz Eduardo
Romanov, Dmytro
Alvseike, Ole
From, Pål Johan
Mason, Alex
author_sort de Medeiros Esper, Ian
collection PubMed
description This paper presents a pig carcass cutting dataset, captured from a bespoke frame structure with 6 Intel® RealSense™ Depth Camera D415 cameras attached, and later recorded from a single camera attached to a robotic arm cycling through the positions previously defined by the frame structure. The data is composed of bags files recorded from the Intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, ten JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure are provided, five JSON files for the data recorded with the bespoke frame and five JSON files for the data captured with the robotic arm.
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spelling pubmed-88668872022-03-02 Pigs: A stepwise RGB-D novel pig carcass cutting dataset de Medeiros Esper, Ian Cordova-Lopez, Luiz Eduardo Romanov, Dmytro Alvseike, Ole From, Pål Johan Mason, Alex Data Brief Data Article This paper presents a pig carcass cutting dataset, captured from a bespoke frame structure with 6 Intel® RealSense™ Depth Camera D415 cameras attached, and later recorded from a single camera attached to a robotic arm cycling through the positions previously defined by the frame structure. The data is composed of bags files recorded from the Intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, ten JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure are provided, five JSON files for the data recorded with the bespoke frame and five JSON files for the data captured with the robotic arm. Elsevier 2022-02-15 /pmc/articles/PMC8866887/ /pubmed/35242927 http://dx.doi.org/10.1016/j.dib.2022.107945 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
de Medeiros Esper, Ian
Cordova-Lopez, Luiz Eduardo
Romanov, Dmytro
Alvseike, Ole
From, Pål Johan
Mason, Alex
Pigs: A stepwise RGB-D novel pig carcass cutting dataset
title Pigs: A stepwise RGB-D novel pig carcass cutting dataset
title_full Pigs: A stepwise RGB-D novel pig carcass cutting dataset
title_fullStr Pigs: A stepwise RGB-D novel pig carcass cutting dataset
title_full_unstemmed Pigs: A stepwise RGB-D novel pig carcass cutting dataset
title_short Pigs: A stepwise RGB-D novel pig carcass cutting dataset
title_sort pigs: a stepwise rgb-d novel pig carcass cutting dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866887/
https://www.ncbi.nlm.nih.gov/pubmed/35242927
http://dx.doi.org/10.1016/j.dib.2022.107945
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