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Authors: Maria Pateraki 1 ; 2 ; 3 ; Panagiotis Sapoutzoglou 1 ; 2 and Manolis Lourakis 3

Affiliations: 1 School of Rural Surveying and Geoinformatics Engineering, National Technical University of Athens, Greece ; 2 Institute of Communication and Computer Systems, National Technical University of Athens, Greece ; 3 Institute of Computer Science, Foundation for Research and Technology – Hellas, Greece

Keyword(s): Spreader, 6D Pose, Estimation, Single View.

Abstract: This paper presents a methodology for inferring the full 6D pose of a container crane spreader from a single image and reports on its application to real-world imagery. A learning-based approach is adopted that starts by constructing a photorealistically textured 3D model of the spreader. This model is then employed to generate a set of synthetic images that are used to train a state-of-the-art object detection method. Online operation establishes image-model correspondences, which are used to infer the spreader’s 6D pose. The performance of the approach is quantitatively evaluated through extensive experiments conducted with real images.

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Paper citation in several formats:
Pateraki, M.; Sapoutzoglou, P. and Lourakis, M. (2023). Crane Spreader Pose Estimation from a Single View. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 796-805. DOI: 10.5220/0011788800003417

@conference{visapp23,
author={Maria Pateraki. and Panagiotis Sapoutzoglou. and Manolis Lourakis.},
title={Crane Spreader Pose Estimation from a Single View},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP},
year={2023},
pages={796-805},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011788800003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP
TI - Crane Spreader Pose Estimation from a Single View
SN - 978-989-758-634-7
IS - 2184-4321
AU - Pateraki, M.
AU - Sapoutzoglou, P.
AU - Lourakis, M.
PY - 2023
SP - 796
EP - 805
DO - 10.5220/0011788800003417
PB - SciTePress

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