3D Reconstruction of Deformable Objects from RGB-D Cameras: An Omnidirectional Inward-facing Multi-camera System
Eva Curto, Helder Araujo
2021
Abstract
This is a paper describing a system made up of several inward-facing cameras able to perform reconstruction of deformable objects through synchronous acquisition of RGBD data. The configuration of the camera system allows the acquisition of 3D omnidirectional images of the objects. The paper describes the structure of the system as well as an approach for the extrinsic calibration, which allows the estimation of the coordinate transformations between the cameras. Reconstruction results are also presented.
DownloadPaper Citation
in Harvard Style
Curto E. and Araujo H. (2021). 3D Reconstruction of Deformable Objects from RGB-D Cameras: An Omnidirectional Inward-facing Multi-camera System. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 544-551. DOI: 10.5220/0010347305440551
in Bibtex Style
@conference{visapp21,
author={Eva Curto and Helder Araujo},
title={3D Reconstruction of Deformable Objects from RGB-D Cameras: An Omnidirectional Inward-facing Multi-camera System},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={544-551},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010347305440551},
isbn={978-989-758-488-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - 3D Reconstruction of Deformable Objects from RGB-D Cameras: An Omnidirectional Inward-facing Multi-camera System
SN - 978-989-758-488-6
AU - Curto E.
AU - Araujo H.
PY - 2021
SP - 544
EP - 551
DO - 10.5220/0010347305440551
PB - SciTePress