Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1784

 Title: Weighted ICP Algorithm for Alignment of Stars from Scanned Astronomical Photographic Plates Authors: Marinov, AlexanderZlateva, NadezhdaDimov, DimoMarinov, Delian Keywords: Iterative Closest Point (ICP) AlgorithmStellar AlignmentWeighted Stellar Alignment Astronomical Wide Plate Registration Issue Date: 2012 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 6, No 1, (2012), 101p-110p Abstract: Given the coarse celestial coordinates of the centre of a plate scan and the field of view, we are looking for a mapping between the stars extracted from the image and the stars from a catalogue, where the stars from both sources are represented by their stellar magnitudes and coordinates, relatively to the image centre. In a previous work we demonstrated the application of Iterative Closest Point (ICP) algorithm for the alignment problem where stars were represented only by their geometrical coordinates. ICP leads to translation and rotation of the initial points - a correction required for one set of stars to fit over the other. This paper extends the previous work by demonstrating significant improvement of ICP by using the stellar magnitudes as point weights. The improvement consists of great decrease of the iteration count until convergence, which helps in the case of highly “misaligned” initial states. The essential aspects of the ICP method like noise tolerance of false or missing stars are still in charge. Description: ACM Computing Classification System (1998): I.2.8, I.2.10, I.5.1, J.2. URI: http://hdl.handle.net/10525/1784 ISSN: 1312-6555 Appears in Collections: Volume 6 Number 1

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