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lCL: Iterative closest line A novel point cloud registration algorithm based on linear features

Majd Alshawa ; Graduate School of Science and Technology (INSA), Strasbourg, France

Puni tekst: engleski, pdf (2 MB) str. 53-59 preuzimanja: 2.409* citiraj
APA 6th Edition
Alshawa, M. (2007). lCL: Iterative closest line A novel point cloud registration algorithm based on linear features. Ekscentar, (10), 53-59. Preuzeto s https://hrcak.srce.hr/20679
MLA 8th Edition
Alshawa, Majd. "lCL: Iterative closest line A novel point cloud registration algorithm based on linear features." Ekscentar, vol. , br. 10, 2007, str. 53-59. https://hrcak.srce.hr/20679. Citirano 01.12.2021.
Chicago 17th Edition
Alshawa, Majd. "lCL: Iterative closest line A novel point cloud registration algorithm based on linear features." Ekscentar , br. 10 (2007): 53-59. https://hrcak.srce.hr/20679
Harvard
Alshawa, M. (2007). 'lCL: Iterative closest line A novel point cloud registration algorithm based on linear features', Ekscentar, (10), str. 53-59. Preuzeto s: https://hrcak.srce.hr/20679 (Datum pristupa: 01.12.2021.)
Vancouver
Alshawa M. lCL: Iterative closest line A novel point cloud registration algorithm based on linear features. Ekscentar [Internet]. 2007 [pristupljeno 01.12.2021.];(10):53-59. Dostupno na: https://hrcak.srce.hr/20679
IEEE
M. Alshawa, "lCL: Iterative closest line A novel point cloud registration algorithm based on linear features", Ekscentar, vol., br. 10, str. 53-59, 2007. [Online]. Dostupno na: https://hrcak.srce.hr/20679. [Citirano: 01.12.2021.]

Sažetak
The problem of matching 3D TLS point clouds is a necessary stage which precedes any kind of modeling in order to perfect the object’s geometry and to control its accuracy. It has been studied extensively in many graphical and image-processing domains. However there is a lack of an adaptive study of this problem in the domain of laser scanning for architectural and urban purposes. Hence, our study aims to summarize the existing methods of point clouds registration.
We introduce a line-based matching method which is the so-called ICL (Iterative Closest Line). Some line extraction methods required by the ICL algorithm are also presented. We compare our method to the ICP (Iterative Closest Point) one as well, which is mostly applied in the domain of point cloud and range image registration. Our method is intended to handle the special case where both of the point clouds were obtained by means of as-built topographic terrestrial laser scanner, which means that they are georeferenced and to be affined by the co-registration.

Ključne riječi
TLS; 3D matching; registration; line extraction

Hrčak ID: 20679

URI
https://hrcak.srce.hr/20679

Posjeta: 3.065 *