Abstract
This paper presents a method for fitting a nD fixed width spherical shell to a given set of nD points in an image in the presence of noise by maximizing the number of inliers, namely the consensus set. We present an algorithm, that provides the optimal solution(s) within a time complexity \(O(N^{n+1}\log N)\) for dimension n, N being the number of points. Our algorithm guarantees optimal solution(s) and has lower complexity than previous known methods.
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Acknowledgments
The authors express their thanks to Mr. Pierre Boulenguez, who contributed in the implementation of a part of the 3D Fitting. The work for this paper was partly financed by Egide, franco-Japanese PHC Sakura project \(n^o\) 27608XJ and by the Poitou Charentes region project \(n^o\) 11/RPC-R-051.
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Zrour, R., Largeteau-Skapin, G., Andres, E. (2015). Optimal Consensus Set for nD Fixed Width Annulus Fitting. In: Barneva, R., Bhattacharya, B., Brimkov, V. (eds) Combinatorial Image Analysis. IWCIA 2015. Lecture Notes in Computer Science(), vol 9448. Springer, Cham. https://doi.org/10.1007/978-3-319-26145-4_8
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