dc.contributor.author | de Medeiros Esper, Ian | |
dc.contributor.author | Cordova-Lopez, Luis Eduardo | |
dc.contributor.author | Romanov, Dmytro | |
dc.contributor.author | Alvseike, Ole | |
dc.contributor.author | From, Pål Johan | |
dc.contributor.author | Mason, Alex | |
dc.date.accessioned | 2022-03-10T08:25:32Z | |
dc.date.available | 2022-03-10T08:25:32Z | |
dc.date.created | 2022-02-26T12:20:56Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Data in Brief. 2022, 41 . | |
dc.identifier.issn | 2352-3409 | |
dc.identifier.uri | https://hdl.handle.net/11250/2984147 | |
dc.description.abstract | 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. | |
dc.language.iso | eng | |
dc.title | Pigs: A stepwise RGB-D novel pig carcass cutting dataset | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | acceptedVersion | |
dc.source.pagenumber | 9 | |
dc.source.volume | 41 | |
dc.source.journal | Data in Brief | |
dc.identifier.doi | 10.1016/j.dib.2022.107945 | |
dc.identifier.cristin | 2005650 | |
dc.relation.project | EC/H2020/871631 | |
dc.relation.project | Norges forskningsråd: 281234 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |