A Review of Fine Registration for 3D Point Clouds

DOI

10.2991/icamcs-16.2016.21How to use a DOI?

Keywords

Point Cloud, Scanner, Three-Dimensional Reconstruction, Registration

Abstract

3D registration is an essential step in 3D reconstruction of real objects. In this paper, the fine registration methods for point clouds are classified systematically and analyzed theoretically. For several typical fine registration algorithms, experimental comparisons are also carried out on the effect of sampling parameters, iterations, iterative threshold and random noise. Furthermore, the stability and efficiency of the algorithms are tested. Based on the experimental results, the problems in current registration methods and the prospects of future research directions are also presented.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yaru Xian
AU  - Jun Xiao
AU  - Ying Wang
AU  - Mengyi Shan
AU  - Chong Zhou
PY  - 2016/06
DA  - 2016/06
TI  - A Review of Fine Registration for 3D Point Clouds
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 108
EP  - 113
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.21
DO  - 10.2991/icamcs-16.2016.21
ID  - Xian2016/06
ER  -