点云中物体原始形状的提取

X. Ning, Fan Li, Yinghui Wang, W. Hao
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引用次数: 3

摘要

形状在物体识别和形状建模中起着重要的作用。本文提出了一种综合分析和实现关键原始形状提取的方法,包括线、面、柱和球。采用基于alpha形状的方法提取直线形状,并提出了一种从不完整物体中鲁棒计算孔洞边界的算法。通过分析邻近点的分布和定义平面原始形状的参数,提取平面原始形状。准确提取合理的原始形状特征,为进一步的形状建模提供依据。实验结果表明,该方法可以有效地处理不同形状的不同物体。
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Primitive Shape Extraction for Objects in Point Cloud
Shape plays an important role in object recognition and shape modeling. In this paper, a comprehensive method is proposed to analyze and implement crucial primitive shape extraction including line, plane, cylinder and sphere. Linear shape is extracted by the proposed alpha-shape based method, and an algorithm that robustly computes the boundary of holes from incomplete objects is presented. The plane primitive shape is extracted by analyzing neighboring point distribution and the parameters that define the primitive shape. Reasonable primitive shape features is extracted accurately for further shape modeling. Experimental results demonstrate that our method could deal with different objects efficiently in different shapes.
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