Abstract
Recent advancements in scanning technologies and their rise in availability have shifted the focus from reconstructing surfaces from point clouds of small areas to large, e.g., city-wide scenes, containing massive amounts of data. We adapt a surface reconstruction method to work in a distributed fashion on a high-performance cluster, reconstructing datasets with millions of vertices in seconds by exploiting the locality of the connectivity required by the reconstruction algorithm to efficiently divide-and-conquer the problem of creating triangulations from very large unstructured point clouds.
Reference
Marin, D., Komon, P., Ohrhallinger, S., & Wimmer, M. (2024). Distributed Surface Reconstruction. In L. Liu & M. Averkiou (Eds.), EG 2024 - Posters. https://doi.org/10.2312/egp.20241037
