Utilizing image processing techniques for 3D reconstruction of laser-scanned data

摘要

In Reverse Engineering, laser scanners are commonly used since they can sample 3D data fast and very accurately relative to other systems. Laser scanner systems, however, yield an enormous amount of irregular and scattered digitized point datathat requires intensive processing in order to reconstruct the surface of the object. It appears that combining 3D scanned data with 2D intensity images can significantly improve the reconstruction process. This paper proposes a new adaptivereconstruction method that integrates information from a CCD camera with scanned laser data. The method is based on: (a) Detecting a 3D boundary of the parametric base surface. (b) Adaptively reconstructing a parametric base surface with anon-self-intersecting grid. (c) Calculating the parameterization of the 3D sampled points. (d) Fitting the surface by applying a least square (LSQ) approximation method with boundary constraints. The feasibility of the parameterization algorithm isdemonstrated on sculptured free objects.