• DocumentCode
    2992913
  • Title

    An optimal algorithm for the derivation of shape from shadows

  • Author

    Hatzitheodorou, Michael ; Kender, John R.

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
  • fYear
    1988
  • fDate
    5-9 Jun 1988
  • Firstpage
    486
  • Lastpage
    491
  • Abstract
    The authors study the problem of recovering a surface slice from the shadows it casts on itself when lighted by the sun at various times of the day. The problem is formulated and solved in a Hilbert space setting. The spine algorithm interpolating the data that result from the shadows is constructed. This algorithm is optimal in terms of the approximation error and has low cost. The authors implement the optimal error algorithm and show a series of test runs. Another modified version of the algorithm that improves the cost considerably is also shown. This version is suited for parallel computation with further reductions in the cost of the solution
  • Keywords
    computerised pattern recognition; splines (mathematics); approximation error; computerised pattern recognition; parallel computation; shadows; shape; spine algorithm; surface slice; Approximation algorithms; Computer science; Costs; Image reconstruction; Light sources; Shape; Spline; Sun; Surface reconstruction; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-0862-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1988.196279
  • Filename
    196279