基于结构光扫描数据点的内表面重建方法

提出基于结构光扫描获取的特征点重建物体内表面的方法.结构光扫描获取原始数据精度较高,但是存在数据密度不均的问题.通过剔除测量方向部分冗余数据点和插补扫描方向的稀疏数据,对原始三维数据密度进行适当调整,然后采用基于局部切平面簇的方法对调整后的数据点云进行表面重建.在某一特征点的邻域构造对应于该点的局部切平面,通过局部切平面簇逼近原始表面,采用Marching cubes算法提取等值面,得到三维表面重建的初始网格,根据优化算法简化网格,并采用Loop细分法平滑网格,获得描述物体表面特征的重建表面.该方法解决了由结构光扫描获取的不均匀原始数据点重建物体内表面的问题.

Reconstruction of inner surface with data points acquired by structured light scanning

A method for reconstructing the inner surface with feature data points acquired by structured light scanning was proposed.Feature data points acquired by structured light scanning are accurate and the distribution density of those data points is nonuniform.Some redundancy points on the measuring direction were removed by sub-sampling and the new points on the scanning direction were added by interpolating.Then the primitive surface of the measured object was reconstructed using the local tangent plane methods with those of preprocessed data points.One local tangent plane for the neighborhood point set of a certain point was constructed and the primitive surface could be approximated by the tangent plane cluster.Based on extracting the isosurface through Marching cubes algorithm,the initial meshes were obtained and the meshes were optimized through an energy function.Then the smooth surface was obtained through Loop subdivision method.It shows that this method can be used for effectively implementing the reconstruction of the inner surface with the nonuniform data points acquiring by structured light scanning.