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Computer Assisted Estimation of Anthropometric Parameters from Whole Body Scanner Data

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Book cover Modelling the Physiological Human (3DPH 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5903))

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Abstract

In this paper we describe a tool for the semi-automatic evaluation of anthropometric parameters from whole body scanner data. It is based on a user friendly interface allowing the interactive visualization of the mesh and the use of specifically designed measurements tools able to obtain standardized anthropometric estimates that can be compared with manually acquired data. The “virtual” measurements procedures implemented exploit mesh processing algorithms specifically designed or customized for the task. The system also performs an automatic pose estimation and mesh segmentation providing automatically other pose-independent anthropometric parameters. In order to evaluate the system, anthropometric measurements performed with classical tape-based techniques have been compared with those simulated on the acquired mesh.

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© 2009 Springer-Verlag Berlin Heidelberg

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Lovato, C., Castellani, U., Fantoni, S., Milanese, C., Zancanaro, C., Giachetti, A. (2009). Computer Assisted Estimation of Anthropometric Parameters from Whole Body Scanner Data. In: Magnenat-Thalmann, N. (eds) Modelling the Physiological Human. 3DPH 2009. Lecture Notes in Computer Science, vol 5903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10470-1_7

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  • DOI: https://doi.org/10.1007/978-3-642-10470-1_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10468-8

  • Online ISBN: 978-3-642-10470-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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