Notes on iterative closest algorithm
Abstrakt
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.
Klíčová slova
Iterative closest point, point cloud, least square methodTrvalý odkaz
http://hdl.handle.net/11012/70943Typ dokumentu
Recenzovaný dokumentVerze dokumentu
Finální verze PDFZdrojový dokument
17th Conference on Applied Mathematics Aplimat 2018 Proceedings. 2018, p. 876-884.http://evlm.stuba.sk/APLIMAT/indexe.htm
Kolekce
- Sekce matematiky [5]