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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