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Authors: José María Martínez-Otzeta 1 ; Iñigo Mendialdua 2 ; Itsaso Rodríguez-Moreno 1 ; Igor Rodriguez 1 and Basilio Sierra 1

Affiliations: 1 Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Spain ; 2 Department of Languages and Computer Systems, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Spain

Keyword(s): Computer Vision, Pointcloud, 3D Segmentation, Open Source.

Abstract: In recent years affordable 3D data acquisition devices have appeared in the market. Researchers and developers have been able to use them in a much larger scale than ever in a wide range of applications, from robotics to autonomous driving. One of these applications is the processing of 3D indoor scenes, usually in the context of autonomous navigation of mobile robots, but also in building mapping for map reconstruction or assessment of the location of structural elements. In this paper we report on the development of an open source Python package (indoor3d) for processing of 3D data obtained indoors. This package is built on top of the Open3D package, with the aim of making easier to perform common tasks that arise in indoor data processing. It has already been helpful in tasks in two different projects: in one of them was useful in the search of structural elements in a pointcloud obtained by a HoloLens device, and in the other in the location of the handle of a door for a mobile r obot navigation application. (More)

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Paper citation in several formats:
Martínez-Otzeta, J.; Mendialdua, I.; Rodríguez-Moreno, I.; Rodriguez, I. and Sierra, B. (2022). An Open-source Library for Processing of 3D Data from Indoor Scenes. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-549-4; ISSN 2184-4313, SciTePress, pages 610-615. DOI: 10.5220/0010870100003122

@conference{icpram22,
author={José María Martínez{-}Otzeta. and Iñigo Mendialdua. and Itsaso Rodríguez{-}Moreno. and Igor Rodriguez. and Basilio Sierra.},
title={An Open-source Library for Processing of 3D Data from Indoor Scenes},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2022},
pages={610-615},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010870100003122},
isbn={978-989-758-549-4},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - An Open-source Library for Processing of 3D Data from Indoor Scenes
SN - 978-989-758-549-4
IS - 2184-4313
AU - Martínez-Otzeta, J.
AU - Mendialdua, I.
AU - Rodríguez-Moreno, I.
AU - Rodriguez, I.
AU - Sierra, B.
PY - 2022
SP - 610
EP - 615
DO - 10.5220/0010870100003122
PB - SciTePress

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