A cloud-point smoothing method based on surface feature

A scattered cloud-point smoothing method based on surface feature is put forth by analyzing the surface local feature. The feature curvature proposed in this paper is a more accuracy parameter to present the contour of a surface. The method consists of three steps. Firstly, the normal of a point is estimated using covariance analysis. Secondly, the local surface is fitted through quadratic surface, by which the principal curvature and feature curvature are estimated. Lastly, the cloud-point data is smoothed using an anisotropic smoothing equation based on feature curvature. This method preserves model feature while decreasing noise. The efficiency of the proposed algorithm is proved by experiments.