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3D Part Segmentation: A New Physics-Based Approach

机译:3D零件细分:一种新的基于物理的方法

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摘要

We propose a novel approach to 3D part segmentation. From physics it is known that on the surface of a charged conductor, charge tends to accumulate at a sharp convexity and vanish at a sharp concavity. Thus object part boundaries, which are usually denoted by a sharp surface concavity, can be detected by locating surface points exhibiting local charge minima. Beginning with multiview range data of a 3D object, we simulate the electrical charge distribution over an object's surface which has been tessellated by a triangular mesh. We detect the deep surface concavities by tracing local charge density minima and then decompose the object into parts at these points.
机译:我们提出了一种新颖的3D零件分割方法。从物理学上可以知道,在带电导体的表面上,电荷倾向于以尖锐的凸度积累,而以尖锐的凹度消失。因此,可以通过定位表现出局部电荷最小值的表面点来检测通常由尖锐的表面凹度表示的物体部分边界。从3D对象的多视图范围数据开始,我们模拟了由三角形网格细分的对象表面上的电荷分布。我们通过跟踪局部电荷密度最小值来检测深表面的凹面,然后在这些点将物体分解成多个部分。

著录项

  • 来源
  • 会议地点 Coral Gables FL(US);Coral Gables FL(US)
  • 作者

    Kenong Wu; Martin D. Levine;

  • 作者单位

    Centre for Intelligent Machines Dept. of Electrical Engineering McGill University, Montreal, Quebec, Canada, H3A 2A7;

    Centre for Intelligent Machines Dept. of Electrical Engineering McGill University, Montreal, Quebec, Canada, H3A 2A7;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息转换及其设备;
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