A Developer-Friendly “Open Lidar Visualizer and Analyser” for Point Clouds With 3D Stereoscopic View

IEEE Access

Jorge Martinez¹  David L. Vilarino¹  Jose C. Cabaleiro¹  Oscar G. Lorenzo¹  Tomas F. Pena¹  Francisco F. Rivera¹ 

[1] Centro Singular de Investigación en Tecnoloxías da Información, Universidade de Santiago de Compostela, Santiago, Spain;

关键词: Data visualization;    LiDAR point clouds;    open source software;    stereoscopic 3D;   

DOI  :  10.1109/ACCESS.2018.2877319

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown