A 3D Point Cloud Registration Algorithm based on Feature Points

DOI

10.2991/icismme-15.2015.168How to use a DOI?

Keywords

3D point cloud registration; feature points; ICP algorithm.

Abstract

The standard ICP algorithm is a mainstream of 3D point cloud registration technique, which can establish effectively correct corresponding point set. An improved ICP algorithm based on inflection point is proposed. Our algorithm doesn’t require the measured object having obvious features. As feature point, inflection point is easy to be obtained. Because not all of the data points are involved with, the amount of corresponding points is reduced. The experiment results show that our algorithm is more effective than other similar algorithms. Especially for large-scale data points, the algorithm has more advantages.

Copyright

© 2015, 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  - Yi Ren
AU  - Fucai Zhou
PY  - 2015/07
DA  - 2015/07
TI  - A 3D Point Cloud Registration Algorithm based on Feature Points
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 802
EP  - 806
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.168
DO  - 10.2991/icismme-15.2015.168
ID  - Ren2015/07
ER  -