Real-Time Interpolated Rendering of Terrain Point Cloud Data.

Abstract
Most real-time terrain point cloud rendering techniques do not address the empty space between the points but rather try to minimize it by changing the way the points are rendered by either rendering them bigger or with more appropriate shapes such as paraboloids. In this work, we propose an alternative approach to point cloud rendering, which addresses the empty space between the points and tries to fill it with appropriate values to achieve the best possible output. The proposed approach runs in real time and outperforms several existing point cloud rendering techniques in terms of speed and render quality.

Citation
Kordež, J., Marolt, M., & Bohak, C. (2022). Real-Time Interpolated Rendering of Terrain Point Cloud Data. Sensors, 23(1), 72. https://doi.org/10.3390/s23010072

Acknowledgements
The authors would like to thank the Slovenian Environmental Agency for providing the data which were used in the experiments.

Publisher
MDPI AG

Journal
Sensors (Basel, Switzerland)

DOI
10.3390/s23010072

PubMed ID
36616669

PubMed Central ID
PMC9824316

Additional Links
https://www.mdpi.com/1424-8220/23/1/72

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