Paper Info
Title
Evaluating the Quality of TLS Point Cloud Colorization.
Abstract
Terrestrial laser scanning (TLS) enables the efficient production of high-density colored 3D point clouds of real-world environments. An increasing number of applications from visual and automated interpretation to photorealistic 3D visualizations and experiences rely on accurate and reliable color information. However, insufficient attention has been put into evaluating the colorization quality of the 3D point clouds produced applying TLS. We have developed a method for the evaluation of the point cloud colorization quality of TLS systems with integrated imaging sensors. Our method assesses the capability of several tested systems to reproduce colors and details of a scene by measuring objective image quality metrics from 2D images that were rendered from 3D scanned test charts. The results suggest that the detected problems related to color reproduction (i.e., measured differences in color, white balance, and exposure) could be mitigated in data processing while the issues related to detail reproduction (i.e., measured sharpness and noise) are less in the control of a scanner user. Despite being commendable 3D measuring instruments, improving the colorization tools and workflows, and automated image processing pipelines would potentially increase not only the quality and production efficiency but also the applicability of colored 3D point clouds.
Year
DOI
Venue
2020
10.3390/rs12172748
REMOTE SENSING
Keywords
DocType
Volume
terrestrial laser scanning,point cloud,color,colorization quality,RGB,dynamic range,image quality assessment,photorealism
Journal
12
Issue
Citations 
PageRank 
17
0
0.34
References 
Authors
0
10
Name
Order
Citations
PageRank
Arttu Julin121.44
Matti Kurkela2265.02
Toni Rantanen300.68
Juho-Pekka Virtanen4134.79
mikko maksimainen562.60
Antero Kukko648347.44
Harri Kaartinen760863.10
Matti Vaaja88410.00
Juha Hyyppä943966.75
Hannu Hyyppa1020223.16