Reference : BODYFITR: Robust Automatic 3D Human Body Fitting
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/40439
BODYFITR: Robust Automatic 3D Human Body Fitting
English
Saint, Alexandre Fabian A mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Shabayek, Abd El Rahman mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Cherenkova, Kseniya mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Gusev, Gleb mailto [Artec Europe SARL]
Aouada, Djamila mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
22-Sep-2019
Proceedings of the 2019 IEEE International Conference on Image Processing (ICIP)
IEEE
Yes
International
978-1-5386-6249-6
2019 IEEE International Conference on Image Processing (ICIP)
22-25 September 2019
IEEE
Taipei
Taiwan
[en] Human body modelling ; 3D body fitting ; 3DBodyTex ; 3D body scanning ; Automatic fitting ; 3D body landmarks
[en] This paper proposes BODYFITR, a fully automatic method to fit a human body model to static 3D scans with complex poses. Automatic and reliable 3D human body fitting is necessary for many applications related to healthcare, digital ergonomics, avatar creation and security, especially in industrial contexts for large-scale product design. Existing works either make prior assumptions on the pose, require manual annotation of the data or have difficulty handling complex poses. This work addresses these limitations by providing a novel automatic fitting pipeline with carefully integrated building blocks designed for a systematic and robust approach. It is validated on the 3DBodyTex dataset, with hundreds of high-quality 3D body scans, and shown to outperform prior works in static body pose and shape estimation, qualitatively and quantitatively. The method is also applied to the creation of realistic 3D avatars from the high-quality texture scans of 3DBodyTex, further demonstrating its capabilities.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Fonds National de la Recherche - FnR ; Artec Europe SARL
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/40439
10.1109/ICIP.2019.8803819
https://cvdatasets.uni.lu
FnR ; FNR11806282 > Alexandre Saint > > Accurate 3D human body shape modelling and fitting under clothing > 01/09/2017 > 14/01/2021 > 2017

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