Title :
Morphological iterative closest point algorithm
Author :
Kapoutsis, C.A. ; Vavoulidis, C.P. ; Pitas, I.
Author_Institution :
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece
fDate :
11/1/1999 12:00:00 AM
Abstract :
This work presents a method for the registration of three-dimensional (3-D) shapes. The method is based on the iterative closest point (ICP) algorithm and improves it through the use of a 3-D volume containing the shapes to be registered. The Voronoi diagram of the “model” shape points is first constructed in the volume. Then this is used for the calculation of the closest point operator. This way a dramatic decrease of the computational cost is achieved
Keywords :
image registration; iterative methods; mathematical morphology; 3-D volume; ICP algorithm; Voronoi diagram; closest point operator; computational cost; morphological iterative closest point algorithm; registration; three-dimensional shapes; Application software; Computational efficiency; Computer vision; Equations; Image registration; Iterative algorithms; Iterative closest point algorithm; Iterative methods; Registers; Shape;
Journal_Title :
Image Processing, IEEE Transactions on
