Sciweavers

ICIP
2005
IEEE

Automatic registration of 3D datasets using Gaussian fields

13 years 11 months ago
Automatic registration of 3D datasets using Gaussian fields
—In this paper we introduce a new 3D automatic registration method based on Gaussian fields and energy minimization. The method defines a simple ∞ C energy function, which is convex in a large neighborhood of the alignment parameters; allowing for the use of powerful standard optimization techniques. We show that the size of the region of convergence can be significantly extended reducing the need for close initialization and overcoming local convergence problems of the standard Iterative Closest Point (ICP) algorithms. Furthermore, the Gaussian criterion can be evaluated with linear computational complexity using Fast Gauss Transform methods, allowing for an efficient implementation of the registration algorithm. Experimental analysis of the technique using real world datasets shows the usefulness as well as the limits of the approach. Keywords-3D Registration; Gaussian Fields; Fast Gauss Transform; Optimization.
Faysal Boughorbel, Andreas Koschan, Mongi A. Abidi
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICIP
Authors Faysal Boughorbel, Andreas Koschan, Mongi A. Abidi
Comments (0)