• DocumentCode
    1393896
  • Title

    Decoupled Linear Estimation of Affine Geometric Deformations and Nonlinear Intensity Transformations of Images

  • Author

    Kovalsky, Shahar Z. ; Cohen, Guy ; Hagege, Rami ; Francos, Joseph M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ben-Gurion Univ., Beer-Sheva, Israel
  • Volume
    32
  • Issue
    5
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    940
  • Lastpage
    946
  • Abstract
    We consider the problem of registering two observations on an arbitrary object, where the two are related by a geometric affine transformation of their coordinate systems, and by a nonlinear mapping of their intensities. More generally, the framework is that of jointly estimating the geometric and radiometric deformations relating two observations on the same object. We show that the original high-dimensional, nonlinear, and nonconvex search problem of simultaneously recovering the geometric and radiometric deformations can be represented by an equivalent sequence of two linear systems. A solution of this sequence yields an exact, explicit, and efficient solution to the joint estimation problem.
  • Keywords
    concave programming; image registration; affine geometric deformations; coordinate systems; decoupled linear estimation; geometric deformation; high dimensional search problem; joint estimation problem; nonconvex search problem; nonlinear intensity transformations; nonlinear mapping; nonlinear search problem; radiometric deformations; Affine transformations; domain registration; image registration; linear estimation; nonlinear range registration.; parameter estimation; Algorithms; Artificial Intelligence; Computer Simulation; Image Interpretation, Computer-Assisted; Linear Models; Nonlinear Dynamics; Pattern Recognition, Automated; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2010.22
  • Filename
    5396338