Crane Spreader Pose Estimation from a Single View

Maria Pateraki, Maria Pateraki, Maria Pateraki, Panagiotis Sapoutzoglou, Panagiotis Sapoutzoglou, Manolis Lourakis

2023

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.

Paper Citation

in Harvard Style

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, SciTePress, pages 796-805. DOI: 10.5220/0011788800003417

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Pateraki M.
AU - Sapoutzoglou P.
AU - Lourakis M.
PY - 2023
SP - 796
EP - 805
DO - 10.5220/0011788800003417
PB - SciTePress