Among the different techniques of (RE), laser scanners are one of the most used instruments. The output of these optical technologies is a digital 3D description of a studying object, which is defined by a point cloud that approximates its surface. Reverse pipeline consists in a process beginning with the acquisition of object’s surface, described by range maps acquired from different points of view. Further steps of the post-processing procedure allow to obtain the final output as a unique and well defined mesh. Laser scanners, as measure instruments, introduce errors in the 3D coordinates of each point cloud acquired, due to object’s surface appearance and reflection property, and also to noise components caused from the instrumentation itself. This paper presents an error experimental analysis of range maps acquired by an optical triangulation laser scanning system (Konica Minolta Vivid 9i), using a painted glass plane as reference object. This study is conducted considering that all point clouds acquired are affected by an error which is composed by two elements: a random component and a systematic one. In scanning processes it is not possible to completely remove the random component, but it is only possible to reduce it, in order to detect and define the systematic one, which is caused by laser scanner’s inner components and constructive features. The goal of this experimental work is to identify a compensation array to apply to the 3D coordinates of the range map points, in order to reduce the systematic component of error. It is possible to define a different array for every operative condition, depending on the distance from object to scanner and on the lens used during the scanning operation. By identifying an appropriate compensation array, it is possible to increase data precision and reduce noise of the collected laser scanning data
Experimental analysis for error compensation of laser scanner data
DE CRESCENZIO, FRANCESCA;FANTINI, MASSIMILIANO;LUCCHI, FRANCESCA;SECCIA, LEONARDO
2011
Abstract
Among the different techniques of (RE), laser scanners are one of the most used instruments. The output of these optical technologies is a digital 3D description of a studying object, which is defined by a point cloud that approximates its surface. Reverse pipeline consists in a process beginning with the acquisition of object’s surface, described by range maps acquired from different points of view. Further steps of the post-processing procedure allow to obtain the final output as a unique and well defined mesh. Laser scanners, as measure instruments, introduce errors in the 3D coordinates of each point cloud acquired, due to object’s surface appearance and reflection property, and also to noise components caused from the instrumentation itself. This paper presents an error experimental analysis of range maps acquired by an optical triangulation laser scanning system (Konica Minolta Vivid 9i), using a painted glass plane as reference object. This study is conducted considering that all point clouds acquired are affected by an error which is composed by two elements: a random component and a systematic one. In scanning processes it is not possible to completely remove the random component, but it is only possible to reduce it, in order to detect and define the systematic one, which is caused by laser scanner’s inner components and constructive features. The goal of this experimental work is to identify a compensation array to apply to the 3D coordinates of the range map points, in order to reduce the systematic component of error. It is possible to define a different array for every operative condition, depending on the distance from object to scanner and on the lens used during the scanning operation. By identifying an appropriate compensation array, it is possible to increase data precision and reduce noise of the collected laser scanning dataI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
