Publication detail

Notes on iterative closest algorithm

PROCHÁZKOVÁ, J. MARTIŠEK, D.

Original Title

Notes on iterative closest algorithm

Type

conference paper

Language

English

Original Abstract

Point clouds are commontly used in many areas of technical practice. Nowadays, the common applications are in area of autonomous cars and 3D terrain or object modelling. During the scanning process, the scanning device or object is moving. So, the problem of precise point cloud registration arises. In this article, we describe Iterative Closest Point (ICP) algorithm that is suitable for fine registration. We introduce some of the improvements that leads to higher precision, speed computation and efficiency.

Keywords

Iterative closest point, point cloud, least square method

Authors

PROCHÁZKOVÁ, J.; MARTIŠEK, D.

Released

23. 3. 2018

Publisher

Institute of Mathematics and Physics, Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava

Location

Bratislava, Slovak Republic

ISBN

978-80-227-4765-3

Book

17th Conference on Applied Mathematics Aplimat 2018 Proceedings

Pages from

876

Pages to

884

Pages count

9

URL

http://evlm.stuba.sk/APLIMAT/indexe.htm

Full text in the Digital Library

http://hdl.handle.net/11012/70943

BibTex

@inproceedings{BUT146920,
  author="Jana {Procházková} and Dalibor {Martišek}",
  title="Notes on iterative closest algorithm",
  booktitle="17th Conference on Applied Mathematics Aplimat 2018 Proceedings",
  year="2018",
  pages="876--884",
  publisher="Institute of Mathematics and Physics, Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava",
  address="Bratislava, Slovak Republic",
  isbn="978-80-227-4765-3",
  url="http://evlm.stuba.sk/APLIMAT/indexe.htm"
}