• DocumentCode
    2428190
  • Title

    Accurate Full Body Scanning from a Single Fixed 3D Camera

  • Author

    Wang, Ruizhe ; Choi, Jongmoo ; Medioni, Gerard

  • Author_Institution
    Comput. Sci. Dept., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    13-15 Oct. 2012
  • Firstpage
    432
  • Lastpage
    439
  • Abstract
    3D body modeling has been a long studied topic in computer vision and computer graphics. While several solutions have been proposed using either multiple sensors or a moving sensor, we propose here an approach when the user turns, in a natural motion, in front of a fixed 3D low cost camera. This opens the door to a wide range of applications where scanning is performed at home. Our scanning system can be easily set up and the instructions are straightforward to follow. We propose an articulated, part-based cylindrical representation for the body model, and show that accurate 3D shape can be automatically estimated from 4 key views detected from a depth video sequence. The registration between 4 key views is performed in a top-bottom-top manner which fully considers the kinematic constraints. We validate our approach on a large number of users, and compare accuracy to that of a reference laser scan. We show that even using a simplified model (5 cylinders) an average error of 5mm can be consistently achieved.
  • Keywords
    cameras; computer vision; image registration; image representation; image sequences; optical scanners; solid modelling; video signal processing; 3D body modeling; 3D shape estimation; articulated part-based cylindrical representation; computer graphics; computer vision; depth video sequence; full body scanning; key view registration; kinematic constraints; natural motion; reference laser scan; single fixed 3D low cost camera; Bismuth; Cameras; Computational modeling; Joints; Sensors; Shape; Solid modeling; Body scanning; cylindrical representation; key pose detection; kinect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4673-4470-8
  • Type

    conf

  • DOI
    10.1109/3DIMPVT.2012.57
  • Filename
    6375025