自适应, 最优邻域, 散乱点云, 降噪

After study of existing point cloud denoising algorithm carefully,the normal vector and local square error in normal direction were computed for point sets.A self adaptive optimal denoising neighbor which was related to the surface feature was achieved by using a self adaptive angle threshold trimming function.Normal space denoising and location space denoising were carried out by using improved trilateral filter.A series of experiments work well,contrasting the new denoising algorithm herein and other ways,more features have preserved and smoothing surface have been achieved.

self-adaptive, optimal neighborhood, scatter point cloud, denoising