New Devices for 3D Pose Estimation: Mantis Eyes, Agam Paintings, Sundials, and Other Space Fiducials

  • Authors:
  • Alfred M. Bruckstein;Robert J. Holt;Thomas S. Huang;Arun N. Netravali

  • Affiliations:
  • Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey 07974, USA;Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey 07974, USA;Beckman Institute, University of Illinois, Urbana, Illinois 61801, USA;Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey 07974, USA

  • Venue:
  • International Journal of Computer Vision - Special issue on computer vision research at the Technion
  • Year:
  • 2000

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Abstract

Several unconventional ideas for viewer/camera pose estimation are discussed. The methods proposed so far advocate the use of advanced image processing for identification and precise location of calibration objects in the images acquired, and base pose recovery on the identification of the viewing dependent deformations of these objects. We propose to more fully exploit the freedom in the design of “space fiducials” or calibration objects showing that we can build objects whose images directly encode, in easily identifiable gray-level/color or temporal patterns, the pose of their viewer. We also show how to construct high-precision fiducials, which can determine a viewing direction quite accurately when it is known to lie within a relatively narrow range.