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A Model-Based Approach for Human Body Reconstruction from 3D Scanned Data

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Computer Vision/Computer Graphics CollaborationTechniques (MIRAGE 2009)

Abstract

Human body scanners can quickly provide clouds of more than 200 000 points representing the human body’s surface. Many new applications can be derived from the ability to build a 3D model of a real person, especially in the textile industry allowing virtual try-on approachs. However, getting a regular model, suitable for these applications from scanned data is not a straightforward task. In this paper, we propose a model-based approach to model a specific person. We use a generic model whitch is segmented and points are organized in slices. We adapt the sizes of each body limb and then fit each slice on the data, limb by limber.

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© 2009 Springer-Verlag Berlin Heidelberg

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Luginbühl, T., Guerlain, P., Gagalowicz, A. (2009). A Model-Based Approach for Human Body Reconstruction from 3D Scanned Data. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics CollaborationTechniques. MIRAGE 2009. Lecture Notes in Computer Science, vol 5496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01811-4_30

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  • DOI: https://doi.org/10.1007/978-3-642-01811-4_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01810-7

  • Online ISBN: 978-3-642-01811-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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