D. Matthys et al., "Dynamic Scanning of Cyclists: Techniques and Applications", Proc. of 3DBODY.TECH 2023 - 14th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 17-18 Oct. 2023, #52, https://doi.org/10.15221/23.52.

Title:

Dynamic Scanning of Cyclists: Techniques and Applications

Authors:

Dries MATTHYS 1, Alexander VAN GASTEL 1, Jochen VLEUGELS 1, Ann-Malin SCHMIDT 2, Yordan KYOSEV 2, Stijn VERWULGEN 1

1 Product Development, Faculty of Design Sciences, University of Antwerp, Belgium;
2 ITM, TU Dresden, Dresden, Germany

Abstract:

Technological advancements in human body modelling have experienced significant growth in recent years. A prime example is the MOVE4D system by IBV. This system combines scanning and post-processing techniques to generate watertight 3D meshes of the human body in motion, thereby opening up numerous possibilities and applications in various fields, including the analysis of anthropometric features on the articulating human body. One limitation of the MOVE4D system is that it is unable to create watertight meshes when a subject and an object are scanned together. This issue arises when registration techniques used on a homologous mesh yield deviations from the true shape of a human, with the initial point cloud containing an articulating human together with points of an object supporting the articulation. This bottleneck is currently limiting further exploration of object-assisted human movement, as applied in fields including sports sciences and occupational ergonomics. In this study, a subject is scanned while cycling, at a rate of three frames per second, to present a technique that discards the bicycle and captures only the human subject. The resulting avatar of the cyclist is a valid representation of the articulating cyclist. Discarding the bicycle is achieved by using an infrared- absorbing black coating on a bicycle template that successfully inhibits the MOVE4D IR camera's ability to capture the bicycle template. In addition, the specific very low surface area of the geometry of the bicycle template allows the MOVE4D system to accurately capture the cyclist's body in its entirety. This coating yields very promising results that could not be achieved with the other option explored in this article: removing the bicycle algorithmically through a post-processing step. Two initial applications of our technique are presented, demonstrating how to retrieve dynamic anthropomorphic features and aerodynamic drag simulations.

Keywords:

4D scanning, Cycling, Object removing 4D, Anthropometry

Details/PDF/VIDEO:

Full paper: PDF
Presentation: VIDEO
Proceedings: 3DBODY.TECH 2023, 17-18 Oct. 2023, Lugano, Switzerland
Paper id#: 52
DOI: 10.15221/23.52

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