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

  • Authors:
  • Thibault Luginbühl;Philippe Guerlain;André Gagalowicz

  • Affiliations:
  • INRIA Rocquencourt, MIRAGES, Rocquencourt, France 78150;UFR PEPS, Université de Haute Alsace, Colmar Cedex, France 68008;INRIA Rocquencourt, MIRAGES, Rocquencourt, France 78150

  • Venue:
  • MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
  • Year:
  • 2009

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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.