A statistical method for geometry inspection from point clouds
作者：
Highlights：
• A statistical method for geometry inspection is proposed.
• The null hypothesis states that the real object fits the theoretical.
• The shape of the object is estimated by fitting a surface to a point cloud.
• The method provides a p-value for the null hypothesis.
• A simulation study was designed to evaluate the performance of the method.
摘要
•A statistical method for geometry inspection is proposed.•The null hypothesis states that the real object fits the theoretical.•The shape of the object is estimated by fitting a surface to a point cloud.•The method provides a p-value for the null hypothesis.•A simulation study was designed to evaluate the performance of the method.
论文关键词：Bootstrap,Kernel smoothing,Inspection,Point cloud
论文评审过程：Available online 26 June 2014.
论文官网地址：https://doi.org/10.1016/j.amc.2014.05.130
