• DocumentCode
    2028455
  • Title

    Recovering Spheres from 3D Point Data

  • Author

    Witzgall, Christoph ; Cheok, Geraldine S. ; Kearsley, Anthony J.

  • Author_Institution
    Nat. Inst. of Stand. & Technol., Washington, DC
  • fYear
    2006
  • fDate
    11-13 Oct. 2006
  • Firstpage
    8
  • Lastpage
    8
  • Abstract
    The National Institute of Standards and Technology is involved in developing standard protocols for the performance evaluation of 3D imaging systems, which include laser scanners and LADARs (laser detection and ranging). A LADAR is an optical device that typically yields voluminous 3D "point clouds" by scanning scenes. In many applications, a model of an object which is present in the scene has been specified, and the task amounts to recovering this object from scan data. Specifically, the recovery of spheres from point clouds will be addressed, aiming at estimating the location of their centers and, if not known beforehand, their radii. This information can be used, for instance, to "register "LADAR data to a specified coordinate frame. Two experiments recovering spheres based on best-fitting data points are reported. Sphere fitting based on orthogonal least squares is compared to a novel approach, minimizing instead the squares of range errors incurred in the direction of the scan.
  • Keywords
    least squares approximations; optical radar; standards; 3D imaging systems; 3D point clouds; LADAR; sphere fitting; Clouds; Laser modes; Laser radar; Layout; Least squares methods; NIST; Optical devices; Optical imaging; Protocols; Standards development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
  • Conference_Location
    Washington, DC
  • ISSN
    1550-5219
  • Print_ISBN
    0-7695-2739-6
  • Electronic_ISBN
    1550-5219
  • Type

    conf

  • DOI
    10.1109/AIPR.2006.33
  • Filename
    4133950