This paper addresses the problem of finding the K closest pairs between two spatial data sets, where each set is stored in a structure belonging in the R-tree family. Five diffe...
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
The Iterative Closest Point (ICP) algorithm is a widely used method for aligning three-dimensional point sets. The quality of alignment obtained by this algorithm depends heavily ...
In this paper, we present a novel algorithm that combines the power of expression of Geometric Algebra with the robustness of Tensor Voting to find the correspondences between two...
Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel corre...
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...