ICL: ITERATIVE CLOSEST LINE A NOVEL POINT CLOUD REGISTRATION ALGORITHM BASED ON LINEAR FEATURESReportar como inadecuado




ICL: ITERATIVE CLOSEST LINE A NOVEL POINT CLOUD REGISTRATION ALGORITHM BASED ON LINEAR FEATURES - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1 MAP - Modèles et simulation pour l-architecture, l-urbanisme et le paysage

Abstract : 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 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.

Keywords : line extraction TLS 3D matching registration line extraction.





Autor: Majd Alshawa -

Fuente: https://hal.archives-ouvertes.fr/



DESCARGAR PDF




Documentos relacionados