改进的切片法三角化

TRIANGULATION BY IMPROVED SLICE METHOD

空间点云的三角化问题是立体视觉等众多领域中的一个热点研究问题。当前相关文献只有少量的介绍了空间闭合点云的三角化方法,而这些方法中又只有为数不多的能对表面曲率变化剧烈的空间点云进行三角化。本文通过对医学断面法和增量算法的结合、改进,来处理空间闭合散乱点云的三角化问题,不但能对空间普通形状闭合点云进行三角化,而且对表面曲率变化剧烈的空间闭合点云也可以进行正确的三角化。实验表明,本方法三角化速度快,产生的三角面片质量高。

The triangular of 3D Points cloud is a hot point in 3D stereo vision. The current papers only described little about triangular of 3D self-closed points cloud, and these methods can also only a few suitable to points cloud those surface is dramatic changed. The 3D Points cloud was be triangulated Based on the medical sliced method and the incremental algorithm in this paper. Not only the general 3D self-closed points cloud can be triangulated, but also whose surface dramatic changed can be. The experimental results show that this method is faster, and the result is high-quality.