三维点集的自动表面重构算法

Automatic Reconstruction of 3D Surface Model with 3D Irregular Points Based on Projection Constrain

摘要: 提出了一种基于透视约束利用离散三维空间点重建三维表面模型的方法,该方法充分利用摄影测量以及激光扫描等三维测量技术中隐含的透视关系,将离散点划分到不同的投影面,在局部利用二维三角网构网技术构建三角网,然后在考虑局部三角网边缘一致性的基础上组合成整体三维表面模型。该方法可以利用近景摄影测量处理产生的三维景物点或激光扫描仪采集的三维空间点自动构造三维表面模型,重建物体三维表面。实验结果表明,该算法是有效的。

Abstract: Surface model reconstruction from 3D irregular points is of great importance in variable fields such as photogrammetry, 3D reconstruction based on images, scientific computing visualization, etc. 3D points can be obtained with many mature methods such as photogrammetry, laser scanning, etc. While the surface model reconstruction from 3D irregular points is still a difficult problem. In this paper, a novel algorithm based on projective constrain for automatic generation of 3D surface model is proposed. It can make full use of projective constrain of points and make surface reconstruction easy. Experiment results show its reliability.