Systems and methods for converting massive point cloud datasets to a hierarchical storage format
US10438092B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 22, 2018 |
| Grant date | Oct 8, 2019 |
| Priority date | — |
| Expiry date | Oct 22, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2212/455
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for converting a point cloud dataset into a hierarchical data structure for a lossless representation of an input file are provided herein. In various embodiments the method comprises recursing subtrees using a preordered traversal for a plurality of nodes, the preordered traversal being checking a parent node and then checking children nodes and stopping the recursing of the subtrees using the preordered traversal of the plurality of nodes when a node of the plurality of nodes is a below threshold node. The below threshold node being less than a configuration specified maximum number of data points, the below threshold node being a leaf of a tileset. Further comprising, aggregating the leaf of the tileset into a lossless representation of the collection of input files.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.