A meshless strategy for shape diameter analysis

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• 作者：Martin Huska ; Serena Morigi
• 关键词：Shape analysis ; Shape diameter function ; Meshless surface processing ; Variational partitioning
• 刊名：The Visual Computer
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：33
• 期：3
• 页码：303-315
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Computer Graphics; Computer Science, general; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision;
• 出版者：Springer Berlin Heidelberg
• ISSN：1432-2315
• 卷排序：33

文摘

An approach to computing an intuitive local thickness from surface meshes was introduced with the shape diameter function (SDF) in Shapira et al. (Vis Comput 24(4):249–259, 2008). In this paper, we present a new dynamic approach to the computation of the SDF for a cloud of points on the boundary of a volumetric object. We employ a particle flow driven by a simple collision test. The resulting SDF scalar field can be naturally exploited as a shape property for the volume-oriented object decomposition. Experimental results show the effectiveness and efficiency of our proposals.