3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations

Teppei Miura, Teppei Miura, Shinji Sako, Tsutomu Kimura

2023

Abstract

3D egocentric human pose estimations from a mounted fisheye camera have been developed following the advances in convolutional neural networks and synthetic data generations. The camera captures different images that are affected by the optical properties, the mounted position, and the camera perturbations caused by body motion. Therefore, data collecting and model training are main challenges to estimate 3D ego-pose from a mounted fisheye camera. Past works proposed synthetic data generations and two-step estimation model that consisted of 2D human pose estimation and subsequent 3D lift-up to overcome the tasks. However, the works insufficiently verify robustness for the camera perturbations. In this paper, we evaluate existing models for robustness using a synthetic dataset with the camera perturbations that increases in several steps. Our study provides useful knowledges to introduce 3D ego-pose estimation for a mounted fisheye camera in practical.

Paper Citation

in Harvard Style

Miura T., Sako S. and Kimura T. (2023). 3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 600-606. DOI: 10.5220/0011661000003417

in Bibtex Style

@conference{visapp23,
author={Teppei Miura and Shinji Sako and Tsutomu Kimura},
title={3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={600-606},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011661000003417},
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 4: VISAPP
TI - 3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations
SN - 978-989-758-634-7
AU - Miura T.
AU - Sako S.
AU - Kimura T.
PY - 2023
SP - 600
EP - 606
DO - 10.5220/0011661000003417
PB - SciTePress