Abstract: This paper resampled the 3D face points clouds based on its whole contour to characterize the face．Firstly,the points set of 3D face region will be adjusted into a unified attitude coordinates and then be changed into depth images.Secondly,the first and second order of gradient ratio of the depth images will be calculated,also a certain threshold will be set to extract the boundary curves of them,in succession,the corresponding points clouds in 3D space of the 2D boundary curves will be found to characterize the human face.Finally,D-ICP algorithm will be used in model registration step and also the similarity of two models will be measured．The experiments were carried out on the European face database GAVAB3D.And the results indicate that our method is handy and effective.

Key words: 3D face points clouds,Resample,Boundary curves,Delaunay-iterative corresponding point(D-ICP) algorithm,Registration