3D Reconstruction of a Human Body from Multiple Viewpoints

  • Koichiro Yamauchi
  • Hideto Kameshima
  • Hideo Saito
  • Yukio Sato
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4872)


A human body measurement system using multiple viewpoints is proposed. Whole human body data taken from systems, which have been developed with a few viewpoints, have not been successful at acquiring due to occlusion. It is proposed that data can be successfully obtained by a method using multiple rangefinders correctly. Four compact rangefinders are installed in a pole. Those three pole units, with 12 rangefinders, are assigned around a person. Multiple viewpoint range images allow the 3D shape reconstruction of a human body. Then a morphable model is adapted to whole human body data. The measurement time is 2 seconds and the average error is found to be 1.88 mm. In this paper, the system configuration, calibration, morphable model and experimental results are described.


human body 3d reconstruction modeling rangefinder 


  1. 1.
    Cyberware: Whole body color 3d scanner,
  2. 2.
    VITRONIC: Vitus 3d body scanner,
  3. 3.
    Treleaven, P.: Sizing us up. IEEE Spectrum 41, 28–31 (2004)CrossRefGoogle Scholar
  4. 4.
    Kanade, T., Saito, H., Vedula, S.: The 3d room: Digitizing time-varying 3d events by synchronized multiple video streams. Tech. rep. CMU-RI-TR-98-34, Robotics Institute, Carnegie Mellon University (1998)Google Scholar
  5. 5.
    Saito, H., Baba, S., Kanade, T.: Appearance-based virtual view generation from multicamera videos captured in the 3-d room. IEEE Trans. Multimedia 5(3), 303–316 (2003)CrossRefGoogle Scholar
  6. 6.
    Vedula, S., Baker, S., Kanade, T.: Image-based spatio-temporal modeling and view interpolation of dynamic events. ACM Trans. Graphics 24(2), 240–261 (2005)CrossRefGoogle Scholar
  7. 7.
    SPACEVISION: Handy 3d camera cartesia,
  8. 8.
    Hattori, K., Sato, Y.: Accurate rangefinder with laser pattern shifting. In: Proc. International Conference on Pattern Recognition, vol. 3, pp. 849–853 (1996)Google Scholar
  9. 9.
    Sato, Y., Otsuki, M.: Three-dimensional shape reconstruction by active rangefinder. In: IEEE Conf. Computer Vision and Pattern Recognition, pp. 142–147. IEEE Computer Society Press, Los Alamitos (1993)CrossRefGoogle Scholar
  10. 10.
    Tsai, R.: A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lens. IEEE Journal of Robotics and Automation 3(4), 323–344 (1987)CrossRefGoogle Scholar
  11. 11.
    Koller, D., Turitzin, M., Levoy, M., Tarini, M., Croccia, G., Cignoni, P., Scopigno, R.: Protected interactive 3d graphics via remote rendering. IEEE Journal of Robotics and Automation 23(3), 695–703 (2004)Google Scholar
  12. 12.
    Koller, D., Levoy, M.: Protecting 3d graphics content. Communications of the ACM 48(6), 74–80 (2005)CrossRefGoogle Scholar
  13. 13.
    Allen, B., Curless, B., Popovi, Z.: The space of all body shapes: Reconstruction and parameterization from range scans. ACM trans. on Graphics 22(3), 587–594 (2003)CrossRefGoogle Scholar
  14. 14.
    Allen, B., Curless, B., Popovi, Z., Hertzmann, A.: Learning a correlated model of identity and pose-dependent body shape variation for real-time synthesis. In: Proc. of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation, vol. 48, pp. 147–156 (2006)Google Scholar
  15. 15.
    E frontier: Poser,
  16. 16.
    Miyazaki, S., Hasegawa, J., Yasuda, T., Yokoi, S.: A deformable object model for virtual manipulation based on maintaining local shapes. In: Proc. World Multi-Conference on Systemics, Cybernetics and Informatics, vol. 6, pp. 100–105 (2001)Google Scholar
  17. 17.
    Kameshima, H., Sato, Y.: Interactive adaptation for 3-d human body model to range data. In: Proc. SICE-ICASE International Joint Conference (20020061), pp. 3523–3526.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Koichiro Yamauchi
    • 1
  • Hideto Kameshima
    • 1
  • Hideo Saito
    • 1
  • Yukio Sato
    • 1
  1. 1.Graduate School of Science and Technology, Keio University, Yokohama 223-8522Japan

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