Technology of Graphic & Image
|
588-592

Point cloud registration algorithm based on multiple-feature matching

Li Qiang
Gao Baolu
Dou Mingliang
College of Information & Computer, Taiyuan University of Technology, Taiyuan 030024, China

Abstract

To solve the problem that, ICP algorithm has a single feature for searching and low accuracy for registration, this paper proposed a point cloud registration algorithm based on multiple-feature matching. It chose the improved adaptive octree algorithm to segment the point cloud. Then it calculated the multiple features of the points after the local fitting of the leaf nodes by MLS algorithm. Next, this algorithm introduced the point pairs similarity based on multiple-feature to establish the matching points. Lastly, it computed the rotation matrix and translation matrix to achieve registration. Experiments show that this algorithm can effectively improve the accuracy of registration on the basis of keeping the point cloud registration speed high. And with the number of point sets increasing, the trend of accuracy for this method is increasing.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0575
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Technology of Graphic & Image
Pages: 588-592
Serial Number: 1001-3695(2020)02-060-0588-05

Publish History

[2020-02-05] Printed Article

Cite This Article

李强, 高保禄, 窦明亮. 基于多重特征匹配的点云配准算法 [J]. 计算机应用研究, 2020, 37 (2): 588-592. (Li Qiang, Gao Baolu, Dou Mingliang. Point cloud registration algorithm based on multiple-feature matching [J]. Application Research of Computers, 2020, 37 (2): 588-592. )

About the Journal

  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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