Contour Representation by Clustering Curvatures of the 3D Objects

Abstract:

The purpose of this work is to segment large size triangulated surfaces and the contours extraction of the 3D object by the use of the object curvature value. The curvatures values allow categorizing the type of the local surface of the 3D object. In present work the curvature was estimated for the free-form surfaces obtained by the 3D range scanner. A free-form surface is the surface such that the surface normal is defined and continuous everywhere, except at sharp corners and edges [2, 5]. Two types of distance measurements functions based on Euclidian distance, bounded box and topology of surface were used for the curvature estimation. Clustering technique has been involved to cluster the values of the curvature for 3D object contour representation. The described technique was applied to the 3D objects with free-form surfaces such as the human foot and cube.

• Periodical: Solid State Phenomena (Volumes 147-149)
• Pages: 633-638
• DOI: https://doi.org/10.4028/www.scientific.net/SSP.147-149.633
• Online since: January 2009
• Authors: Arūnas Lipnickas, Vidas Raudonis
• Keywords: 3D Shape Analysis, Clustering, Curvature, Freeform, Range Scanner

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