• DocumentCode
    978286
  • Title

    Affine Registration of Point Sets Using ICP and ICA

  • Author

    Du, Shaoyi ; Zheng, Nanning ; Meng, Gaofeng ; Yuan, Zejian

  • Author_Institution
    Inst. of Artificial Intell. & Robot., Xi´´an Jiaotong Univ., Xi´´an
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    689
  • Lastpage
    692
  • Abstract
    This letter proposes a novel algorithm for affine registration of point sets in the way of incorporating an affine transformation into the iterative closest point (ICP) algorithm. At each iterative step of this algorithm, a closed-form solution of the affine transformation is derived. Similar to the ICP algorithm, this new algorithm converges monotonically to a local minimum from any given initial parameters. To get the best affine registration result, good initial parameters are required which are successfully estimated by using independent component analysis (ICA). Experimental results demonstrate the robustness and high accuracy of this algorithm.
  • Keywords
    affine transforms; computer vision; image registration; independent component analysis; iterative methods; affine registration; affine transformation; computer vision; image processing; independent component analysis; iterative closest point algorithm; Closed-form solution; Computer vision; Independent component analysis; Iterative algorithms; Iterative closest point algorithm; Iterative methods; Least squares methods; Robustness; Shape; Signal processing algorithms; Affine registration; independent component analysis (ICA); iterative closest point (ICP);
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.2001823
  • Filename
    4666764