| Authors: | Martinez-Ortiz, Carlos Žunić, Joviša |
Title: | Measuring cubeness of 3D shapes | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volume: | 5856 LNCS | First page: | 716 | Last page: | 723 | Conference: | 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009; Guadalajara, Jalisco; Mexico; 15 November 2009 through 18 November 2009 | Issue Date: | 1-Dec-2009 | Rank: | M23 | ISBN: | 978-3-642-10267-0 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-642-10268-4_84 | Abstract: | In this paper we introduce a new measure for 3D shapes: cubeness. The new measure ranges over (0, 1] and reaches 1 only when the given shapes is a cube. The new measure is invariant with respect to rotation, translation and scaling, and is also robust with respect to noise. |
Keywords: | 3D shape | Compactness measure | Image processing | Publisher: | Springer Link |
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