Contributions to Proceedings:

M. Schütz, S. Ohrhallinger, A. Wimmer:
"Fast Out-of-Core Octree Generation for Massive Point Clouds";
in: "Computer Graphics Forum", 39; E. Eisemann (ed.); John Wiley & Sons, Inc., 2020, 1 - 13.

English abstract:
We propose an efficient out-of-core octree generation method for arbitrarily large point clouds. It utilizes a hierarchical counting
sort to quickly split the point cloud into small chunks, which are then processed in parallel. Levels of detail are generated by
subsampling the full data set bottom up using one of multiple exchangeable sampling strategies. We introduce a fast hierarchical
approximate blue-noise strategy and compare it to a uniform random sampling strategy. The throughput, including out-of-core
access to disk, generating the octree, and writing the final result to disk, is about an order of magnitude faster than the state of
the art, and reaches up to around 6 million points per second for the blue-noise approach and up to around 9 million points per
second for the uniform random approach on modern SSDs.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.