The Hilbert curve is a way of mapping the multidimensional space into the one-dimensional space. Such mappings are of interest in a number of application domains including image processing and, more recently, in the indexing of multidimensional data. However, little has been discussed on its high dimensional algorithms due to the complexity. In this paper, a novel algorithm is presented for analyzing an N-dimensional Hubert curve, which discusses how to obtain the constructing information of an N-dimensional Hilbert curve. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Li, C., & Feng, Y. (2005). Algorithm for analyzing N-dimensiomal Hilbert curve. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3739 LNCS, pp. 657–662). Springer Verlag. https://doi.org/10.1007/11563952_60
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