基于几何图像的点云数据简化算法

Point Cloud Simplification Based on Geometry Image and Random Sampling

提出一种基于几何图像的点云数据简化算法,该算法将基于几何图像的简化与随机采样相结合,首先将点集合的笛卡尔坐标转换为球面极坐标,再将球面极坐标重采样到灰度图像中,然后基于几何图像进行简化,最后引入随机采样来填补几何图像简化所产生的孔洞。实验证明了该算法的正确性和高效性。

This paper presents a point cloud simplification algorithm based on the combination of geometry image and random sampling methods. First, the algorithm transfers point-sampled models from Descartes coordinate into according spherical polar coordinate. And the geometry image is created by projecting its spherical polar coordinates onto a plane. The point cloud is simplified by the created geometry image. And the random sampling methods is applied to make up the holes cy and simpleness.