Registration of Ground-based LiDAR Point Clouds by Using 3D Line Features
Date Issued
2006
Date
2006
Author(s)
Chuang, Tzu-Yi
DOI
zh-TW
Abstract
In this paper, the author shows how to extract the 3D line features from ground-based LiDAR point clouds in three different ways and develops the algorithms in which 3D line feature matching for registering overlapping scenes can be established by using geometric constraints, like spatial angles and distances, in an automatic fashion. 3D spatial similarity transformations by employing 3D line features are proposed for both its rigorous and approximate models in this study. The rigorous model involves providing approximation of parameters when initializing the computation. The approximate model, on the other hand, requires no approximation for a less accurate solution, however. The two models are combined, called hybrid model, in an attempt to free the necessity of approximation and acquire a highly accurate solution. The experiments for registering overlapping point cloud data sets collected by a ground-based LiDAR system demonstrates the satisfactory data registration result based on the proposed scheme.
Subjects
光達點雲
套合
三維直線特徵
三維直線特徵匹配
空間相似轉換
幾何約制
LiDAR Point Cloud
Registration
3D Line Features
3D Line Matching
Similarity Transformation
Geometric Constraints
Type
thesis