Paper Info
Title
A Developer-Friendly "Open Lidar Visualizer and Analyser" for Point Clouds With 3D Stereoscopic View.
Abstract
Light detection and ranging is being a hot topic in the remote sensing field, and the development of robust point cloud processing methods is essential for the adoption of this technology. In order to understand, evaluate, and show these methods, it is a key to visualize their outputs. Several visualization tools exist, although it is usually difficult to find the suited one for a specific application. On the one hand, proprietary (closed source) projects are not flexible enough because they cannot be modified to adapt them to particular applications. On the other hand, current open source projects lack an effortless way to create custom visualizations. For these reasons, we present Olivia, a developer-friendly open source visualization tool for point clouds. Olivia provides the backbone for any type of point cloud visualization, and it can be easily extended and tailored to meet the requirements of a specific application. It supports stereoscopic 3-D view, aiding both the evaluation and presentation of processing methods. In this paper, several cases of study are presented to demonstrate the usefulness of Olivia along with its computational performance.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2877319
IEEE ACCESS
Keywords
DocType
Volume
Data visualization,LiDAR point clouds,open source software,stereoscopic 3D
Journal
6
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Jorge Martínez19517.02
Oscar G. Lorenzo252.94
D. L. Vilariño3424.34
Tomás F. Pena46816.56
José C. Cabaleiro5103.44
F. F. Rivera69015.12