3D Shape Reconstruction of Trunk Swaying Human Body Segments

  • Takuya Funatomi
  • Masaaki Iiyama
  • Koh Kakusho
  • Michihiko Minoh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4069)


We propose a method for acquiring a 3D shape of human body segments accurately. Using a light stripe triangulation range finder, we can acquire accurate the 3D shape of a motionless object in a dozen of seconds. If the object were to move during the scanning, the acquired shape would be distorted. Naturally, humans move slightly for making balance while standing even if the subject tries to stay still for avoiding the distortion of the shape. Our method corrects the distortion based on measured motion during the scanning.

Experimental results show the accuracy of our shape measurements. Trunk swaying degrades the accuracy of the light stripe triangulation from 1mm to 10mm. We can keep the accuracy of as good as 2mm by applying our method.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Cyberware Inc.,
  2. 2.
  3. 3.
    Hamamatsu Inc.,
  4. 4.
    Oike, Y., Ikeda, M., Asada, K.: A COMS Image Sensor for High-Speed Active Range Finding Using Column-Parallel Time-Domain ADC and Position Encoder. IEEE Trans. on electron devices 50(1), 152–158 (2003)CrossRefGoogle Scholar
  5. 5.
    Vuylsteke, P., Oosterlinck, A.: Range Image Acquisition with a Single Binary-Encoded Light Pattern. IEEE Trans. on Pattern Analysis and Machine Intelligence 12(2), 148–164 (1990)CrossRefGoogle Scholar
  6. 6.
    Sinlapeecheewa, C., Takamasu, K.: 3D Profile Measurement by Color Pattern Projection and System Calibration. In: Proc.of ICIT 2002, pp. 405–410 (2002)Google Scholar
  7. 7.
    Hattori, K., Sato, Y.: Accurate Rangefinder with Laser Pattern Shifting. Proc. of ICPR 3(3), 849–853 (1996)Google Scholar
  8. 8.
    Winter, D.A., Patla, A.E., Prince, F., Ishac, M., Gielo-Perczak, K.: Stiffness Control of Balance in Quiet Standing. J. Neurophysiology 80(3), 1211–1221 (1998)Google Scholar
  9. 9.
    Zhang, Z.: A Flexible New Technique for Camera Calibration, Microsoft Research, MSR-TR-98-71 (1998)Google Scholar
  10. 10.
    Ueshiba, T., Tomita, F.: A Factorization Method for Projective and Euclidean Reconstruction for Multiple Perspective views via iterative depth estimation. In: Burkhardt, H.-J., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1406, pp. 296–310. Springer, Heidelberg (1998)Google Scholar
  11. 11.
    Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T.: Numerical Recipes in C, the Art of Scientific Computing, 2nd edn. Cambridge University Press, Cambridge (1992)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Takuya Funatomi
    • 1
  • Masaaki Iiyama
    • 1
  • Koh Kakusho
    • 1
  • Michihiko Minoh
    • 1
  1. 1.Kyoto UniversityKyotoJapan

Personalised recommendations