In this work we consider 3D point sets, which in a typical setting represent unorganized point clouds. Segmentation of these point sets requires first to single out structural components of the unknown surface discretely approximated by the point cloud. Structural components, in turn, are surface patches approximating unknown parts of elementary geometric structures, such as planes, ellipsoids, spheres and so on. The approach used is based on level set methods computing the moving front of the surface and tracing the interfaces between different parts of it. Level set methods are widely recognized to be one of the most efficient methods to segment both 2D images and 3D medical images. Level set methods for 3D segmentation have recently received an increasing interest. We contribute by proposing a novel approach for raw point sets. Based on the motion and distance functions of the level set we introduce four energy minimization models, which are used for segmentation, by considering an equal number of distance functions specified by geometric features. Finally we evaluate the proposed algorithm on point sets simulating unorganized point clouds.

Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization / Cafaro, Bruno; Azimi, Iman; Ntouskos, Valsamis; PIRRI ARDIZZONE, Maria Fiora; RUIZ GARCIA, MANUEL ALEJANDRO. - ELETTRONICO. - 1:(2015), pp. 150-157. (Intervento presentato al convegno International Conference on Computer Graphics Theory and Applications tenutosi a Berlino; Germany nel 11 - 14 Marzo 2015) [10.5220/0005309301500157].

Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization

CAFARO, BRUNO;NTOUSKOS, VALSAMIS;PIRRI ARDIZZONE, Maria Fiora;RUIZ GARCIA, MANUEL ALEJANDRO
2015

Abstract

In this work we consider 3D point sets, which in a typical setting represent unorganized point clouds. Segmentation of these point sets requires first to single out structural components of the unknown surface discretely approximated by the point cloud. Structural components, in turn, are surface patches approximating unknown parts of elementary geometric structures, such as planes, ellipsoids, spheres and so on. The approach used is based on level set methods computing the moving front of the surface and tracing the interfaces between different parts of it. Level set methods are widely recognized to be one of the most efficient methods to segment both 2D images and 3D medical images. Level set methods for 3D segmentation have recently received an increasing interest. We contribute by proposing a novel approach for raw point sets. Based on the motion and distance functions of the level set we introduce four energy minimization models, which are used for segmentation, by considering an equal number of distance functions specified by geometric features. Finally we evaluate the proposed algorithm on point sets simulating unorganized point clouds.
2015
International Conference on Computer Graphics Theory and Applications
Point Clouds, Level Set Methods, Minimal Surface Energy, Segmentation, Meshing
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization / Cafaro, Bruno; Azimi, Iman; Ntouskos, Valsamis; PIRRI ARDIZZONE, Maria Fiora; RUIZ GARCIA, MANUEL ALEJANDRO. - ELETTRONICO. - 1:(2015), pp. 150-157. (Intervento presentato al convegno International Conference on Computer Graphics Theory and Applications tenutosi a Berlino; Germany nel 11 - 14 Marzo 2015) [10.5220/0005309301500157].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/843222
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