光栅投影式测量点云数据的曲面重构技术

Surface reconstruction algorithm for 3D data cloud obtained in grating projection

提出了一种通过光栅投影式测量方法所得结果来获取新的按明暗变化规律分布的三维点群方法.它包括对被测物体进行三维几何模型重构、对被测物体的普通图像进行抖动处理以及将抖动所得图像中的白色像素点向重构的曲面进行投射三个主要步骤.分析了该方法面临的关键问题———线状分布原始三维测量点的曲面重构,提出了一种基于线状分布原始三维测量点的三角片几何模型重构算法,算法简单,可以确保生成性状良好的三角片对曲面进行拟合,并且能够避免出现曲面裂口,从而使曲面连续、光顺.

The topic brings forward a method to get new 3D result points arranged according to light and shad based on the original 3D result points obtained in grating projection method. The method includes three main steps： reconstruct 3D geometry model of the object to be measured, dither a common photo of it and project the white pixels of the dithered bitmap to the 3D geometry model. Then the topic followed by analysis and solving of the key problem that baffles the method： the curving surface reconstruction, based on original 3D result points that distribute in parallel lines manner. The method reconstruct curving surface in triangle-geometry model, simple while can make sure to generate good-character triangles and avoid gaps to make curving surface smooth and consecutive.