Systems and methods for automatic detection and quantification of point cloud variance
US10861175B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2020 |
| Grant date | Dec 8, 2020 |
| Priority date | — |
| Expiry date | May 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A comparator may automatically detect and quantify subtle and/or microscopic variance to a feature of a three-dimensional (“3D”) object in a reproducible manner based on point cloud imaging of that 3D object. The comparator may isolate a first set of data points, that represent the object feature at a first time, in a reference point cloud, and may isolate a second set of data points, that represent the same but altered object feature at a different second time, in a non-reference point cloud. The comparator may detect variance between positional values and visual characteristic values of the second set of data points and the corresponding positional values and visual characteristic values of the first set of data points, and may quantify a change occurring to the object feature between the first time and the second time based on a mapping of the variance to a particular unit of measure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.