论文纸片盒子 09
A fast registration algorithm of rock point cloud based on spherical projection and feature extraction
abstract
点云配准是三维重建当中的重要步骤之一。
本文在 iterative closeset point(ICP) 算法的基础上提出了一种快速配置算法。
点云首先通过 球面极坐标 转换为 数字图像。
然后移除边界点并提取图像特征。
通过图像之间的特征配准，实现点云之间的配准。
introduction
related work
coarse registration
粗配准
fine registration
精配准
the registration based on image
图像配准
feature extraction
特征提取
proposed method
basic framework
image
image projection transformation
图像投影变换
image
transformation principle
transformation steps
feature selection
extract feature
remove the boundary point
selection of matching
transform
experimental results and analysis
image
image
image
image
image
