AUTOMATED ALIGNMENT OF SPATIAL DATA SETS USING GEOMETRIC INVARIANT INFORMATION AND PARAMETER SPACE CLUSTERING

摘要

A method for automatically registering spatial data sets using geometric invariant-information and parameter space clustering to determine the opimum alignment of at least two geometric features taken from two images. The method first identifies geometric features, a hierarchical scheme is then used to find the best fit for the corresponding features in the data sets, with reduced the computational complexity and greater accuracy than prior art automated methods.