.png){kind=icon}
返回
Grid graph-based large-scale point clouds registration
.png){kind=icon}
OA
AI
DOI：10.1080/17538947.2023.2228298.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Automatic registration of unordered point clouds is the prerequisite for urban reconstruction. However, most of the existing technologies still suffer from some limitations. On one hand, most of them are sensitive to noise and repetitive structures, which makes them infeasible for the registration of large-scale point clouds. On the other hand, most of them dealing with point clouds with limited overlaps and unpredictable location. All these problems make it difficult for registration technology to obtain qualified results in outdoor point cloud. To overcome these limitations, this paper presents a grid graph-based point cloud registration (GGR) algorithm to align pairwise scans. First, point cloud is divided into a set of 3D grids. We propose a voting strategy to measure the similarity between two grids based on feature descriptor, transforming the superficial correspondence into 3D grid expression. Next, a graph matching is proposed to capture the spatial consistency from putative correspondences, and graph matching hierarchically refines the corresponding grids until obtaining point-to-point correspondences. Comprehensive experiments demonstrated that the proposed algorithm obtains good performance in terms of successful registration rate, rotation error, translation error, and outperformed the state-of-the-art approaches.
Keyword:
Point cloud alignment
scan matching
graph algorithms
reconstruction
期刊
IF:
4.9
论文数:
2.0K
被引数:
4.7K
机构
引用论文
Subversion of Autophagy in Adherent Invasive Escherichia coli-Infected Neutrophils Induces Inflammation and Cell Death.png)
PLoS ONEOAAI
PLoS ONEIF0
OAAI分享收藏Repeated video head impulse testing in patients is a stable measure of the passive vestibulo-ocular reflex对患者进行重复的视频头冲动测试是对被动前庭眼反射的稳定测量
OAAI
OAAI分享收藏An efficient global energy optimization approach for robust 3D plane segmentation of point clouds
PREAI
分享收藏
查看更多内容