In this article, we propose a generalization of the Euclidean α-shape, and through it we present an algorithm to retrieval shapes that are similar to a query shape from a finite set of points. Similarity means that we look for patterns identical, according to a given measure, to a query shape independently of translation, rotation and scaling transforms. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Idoumghar, L., & Melkemi, M. (2007). Pattern retrieval from a cloud of points using geometric concepts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4633 LNCS, pp. 460–468). Springer Verlag. https://doi.org/10.1007/978-3-540-74260-9_41
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