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2019 | OriginalPaper | Chapter

A Point Cloud Registration Algorithm Based on 3D-SIFT

Authors : Zehua Jiao, Rui Liu, Pengfei Yi, Dongsheng Zhou

Published in: Transactions on Edutainment XV

Publisher: Springer Berlin Heidelberg

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Abstract

Point cloud registration is a key technology in reverse engineering. The registration process of point cloud is divided into coarse registration and fine registration. For fine registration process, ICP (Iterative Close Point) is a classic algorithm. The traditional ICP algorithm is inefficient and incorrect if the correct initial point set is not obtained. In this paper, a point cloud registration algorithm based on 3D-SIFT features is proposed. In this method, the 3D-SIFT algorithm is used to extract key points. At the same time, the 3D-feature descriptor is used as a constraint on the initial set of points in the ICP algorithm. The results show that the method improves the efficiency and precision of the ICP algorithm, and achieves better results of point cloud registration.

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Metadata
Title
A Point Cloud Registration Algorithm Based on 3D-SIFT
Authors
Zehua Jiao
Rui Liu
Pengfei Yi
Dongsheng Zhou
Copyright Year
2019
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-59351-6_3

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