关键词: 离群, 组合曲面, 曲面域, 空间统计

Abstract: In the existing methods of extracting the characteristic points of combined surfaces, to choose the proper threshold value, which affects the validity of the characteristic points, is difficult. A novel approach of extracting the characteristic points of the combined surfaces based on outlier detection algorithm was proposed. In this approach, the surface domain and its depth were defined according to the combined surfaces characteristic. The characteristic points were extracted according to the normal unit introduced based on the outlier detection algorithm, which used the spatial statistics and was an important part of spatial data mining. This approach was applied to the reverse design for the parts of a motorcycle successfully. The experiment shows that this approach can accurately extract the characteristic points and meet the requirement of real-time.

Key words: outlier detection, combined surface, surface domain, spatial statistic