Abstract
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.
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Idoumghar, L., Melkemi, M. (2007). Pattern Retrieval from a Cloud of Points Using Geometric Concepts. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_41
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DOI: https://doi.org/10.1007/978-3-540-74260-9_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74258-6
Online ISBN: 978-3-540-74260-9
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