ICP algorithm for alignment of stars from astronomical photographic images

Authors:
Alexander Marinov;Nadezhda Zlateva
Affiliations:
Institute of Information Technologies, Bulgarian Academy of Sciences, Sofia;Institute of Information Technologies, Bulgarian Academy of Sciences, Sofia
Venue:
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Year:
2010

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Abstract

This article proposes a method for the alignment of stars from astronomical photographic images to stars from a standard astronomical catalog. Given the coarse celestial coordinates of the image center and the field of view, we are looking for a mapping between the stars extracted from the image and the stars from the catalog. The method is based on the Iterative Closest Point (ICP) algorithm [1-3, 5-6], which is robust enough to the presence of noise and the appearance of false stars or such that are missing from the image. Due to the purely geometrical character of the algorithm, the intensity noises of the image pixels have no impact. The result when applying the algorithm is that the original image is translated and rotated so that the stars from the image are aligned with their exact coordinates, given by the star catalog.