• DocumentCode
    1557295
  • Title

    Estimating the viewing parameters of random, noisy projections of asymmetric objects for tomographic reconstruction

  • Author

    Lauren, Peter D. ; Nandhakumar, N.

  • Author_Institution
    Media Cybern. LP, Silver Springs, MD, USA
  • Volume
    19
  • Issue
    5
  • fYear
    1997
  • fDate
    5/1/1997 12:00:00 AM
  • Firstpage
    417
  • Lastpage
    430
  • Abstract
    The ability to determine the viewing parameters of objects from their projections has enabled well established tomographic techniques to be employed in the 3D reconstruction of objects from images obtained via modalities where the orientation of the objects cannot be controlled. A method is described for the determination of the viewing parameters of randomly acquired projections of asymmetric objects. It extends upon the common lines algorithm by determining the relative orientation of projections from the location of lines of intersection among the Fourier transforms of the projections in 3D Fourier space. A new technique for finding the lines of intersection in the presence of translational displacement, and for subsequently finding the translational displacement, is presented. The complete algorithm is described and its efficacy is demonstrated using real data. A new technique for dealing with noise is also discussed
  • Keywords
    Fourier transforms; image reconstruction; motion estimation; parameter estimation; stereo image processing; tomography; 3D Fourier space; 3D object reconstruction; Fourier transforms; asymmetric objects; common lines algorithm; motion analysis; noisy projections; pose estimation; tomography; translational displacement; viewing parameter estimation; Cybernetics; Electrons; Fourier transforms; Frequency domain analysis; Image reconstruction; Interpolation; Motion analysis; Motion estimation; Parameter estimation; Tomography;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.589202
  • Filename
    589202