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:
Data Article
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
Descripción
Sumario: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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