earticle

영어

With noise and plenty of redundant points, point cloud data obtained from non-contact scan method affects the reconstruction of geometric model. In view of the fact that de-noising and simplification of original point cloud data serve as key points of geometric reconstruction, this paper, based on noise properties, puts forward a method to eliminate noise points at different scales through combination of chord height error and improved filter operator, and introduces an algorithm to carry out non-uniform simplification of point cloud based on bounding box and curvature fusion, through which feature points can be reserved in the process of eliminating redundant point cloud, and reduced points cloud data can thus be obtained. Finally, a geometrical face model is established through integration of multi-view point cloud in different angles and data registration. It can be demonstrated through experiments that this method can improve the arithmetic speed with the reconstruction integrity guaranteed and establish highly realistic 3D face model with structural integrity and smooth surface.