Recovery of Detailed Posture and Shape from Motion Video Images by Deforming SMPL

Yumi Ando, Fumihiko Sakaue, Jun Sato

2025

Abstract

In this research, we propose a method for estimating detailed human shape and posture from video images of a person in motion. The SMPL (Skinned Multi-Person Linear Model) model can represent various body shapes with a small number of parameters, but it cannot represent detailed information such as the subject’s clothing or hairstyle. In this research, we separate such detailed deformations into deformations common to all time periods and temporary deformations that appear at different times, and recover each of them to realize detailed human shape recovery from video images of people shot with various postures.

Paper Citation

in Harvard Style

Ando Y., Sakaue F. and Sato J. (2025). Recovery of Detailed Posture and Shape from Motion Video Images by Deforming SMPL. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 751-757. DOI: 10.5220/0013322400003912

in Bibtex Style

@conference{visapp25,
author={Yumi Ando and Fumihiko Sakaue and Jun Sato},
title={Recovery of Detailed Posture and Shape from Motion Video Images by Deforming SMPL},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2025},
pages={751-757},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013322400003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Recovery of Detailed Posture and Shape from Motion Video Images by Deforming SMPL
SN - 978-989-758-728-3
AU - Ando Y.
AU - Sakaue F.
AU - Sato J.
PY - 2025
SP - 751
EP - 757
DO - 10.5220/0013322400003912
PB - SciTePress