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
fDate :
6/30/1905 12:00:00 AM
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);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2001823