An anisotropic dvnoising algorithm for point-sampled models is proposed in this paper．Point-sampled models obtained by 3D scanning devices inevitably contain some undesirable noises．Aiming at quickly removing the isolated noises and preserving the appearance of geometrical sharp features，the local spatial geometry and range components including normal and curvature information arc considerably taken into account．and the noises are anisotropieally diffused by applying Gaussian kernel function to compute influence weights of neighbors and moving vertex along normal direction．The method is compared with previous algorithms It is proved that it is simple and efficient．