RT Journal Article
T1 A Developer-Friendly “Open Lidar Visualizer and Analyser” for Point Clouds With 3D Stereoscopic View
A1 Martínez Sánchez, Jorge
A1 García Lorenzo, Óscar
A1 López Vilariño, David
A1 Fernández Pena, Anselmo Tomás
A1 Cabaleiro Domínguez, José Carlos
A1 Fernández Rivera, Francisco
K1 Data visualization
K1 LiDAR point clouds
K1 Open source software
K1 Stereoscopic 3D
AB 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.
PB IEEE
SN 2169-3536
YR 2018
FD 2018
LK http://hdl.handle.net/10347/23009
UL http://hdl.handle.net/10347/23009
LA eng
NO J. Martínez, O. G. Lorenzo, D. L. Vilariño, T. F. Pena, J. C. Cabaleiro and F. F. Rivera, "A Developer-Friendly “Open Lidar Visualizer and Analyser” for Point Clouds With 3D Stereoscopic View," in IEEE Access, vol. 6, pp. 63813-63822, 2018, doi: 10.1109/ACCESS.2018.2877319.
DS Minerva
RD 24 abr 2026