3-D object positioning from monocular image brightnesses

  • Tadayoshi Shioyama
  • Hai Yuan Wu
  • Wen Biao Jiang
  • Susumu Terauchi
Poster Session B: Active Vision, Motion, Shape, Stereo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1310)


This paper proposes an estimation scheme for three-dimensional (3-D) object positioning from monocular image .brightnesses without point correspondences while previous 3-D positioning methods need point correspondences. In the present scheme, at the first step, 3-D shapes of object are recovered from image brightnesses before and after rotation motion. At the second step, two vectors which are transformed according to rotation matrix under 3-D rotation, are constructed from central moments of the recovered 3-D shapes of object before and after motion, respectively. At the third step, rotation matrix is computed from these vectors by singular value decomposition. At the fourth step, from the rotation matrix the rotation axis and the rotation angle around the axis are estimated.


Rotation Angle Image Plane Spherical Harmonic Rotation Matrix Present Scheme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Tadayoshi Shioyama
    • 1
  • Hai Yuan Wu
    • 1
  • Wen Biao Jiang
    • 1
  • Susumu Terauchi
    • 1
  1. 1.Department of Mechanical and System EngineeringKyoto Institute of TechnologyKyotoJapan

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