Functional Surface Reconstruction from Unorganized Noisy Point Clouds

ABSTRACT

As point clouds have become an important representation of objects in reverse engineering, surface reconstruction from point clouds has consequently been an active research topic over many years. In this paper a new procedure for surface reconstruction directly from point clouds is proposed. Similar to many reported works, boundary points of functional surfaces are firstly detected by the extended difference of normals operator. After the points belonging to the same functional surface are grouped by a simple algorithm, a B-spline surface is fitted to these points so as to generate an editable NURBS surface. Experimental results shown in this literature demonstrate the feasibility of the proposed method to reconstruct curved surface with high curvature.

GRAPHICAL ABSTRACT

Keywords:

• surface reconstruction
• point cloud processing
• difference of normals

ACKNOWLEDGMENTS

This work is partially supported by The Education Department of Liaoning Province (Grant No. L2012012). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.