Method for extracting rivet points in large scale three-dimensional point cloud base on deep learning
US11556732B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 7, 2021 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Mar 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for extracting rivet points in large scale three-dimensional point cloud based on deep learning is provided. Geometric attribute scalar of a point cloud of aircraft skin is calculated point by point, and the scalar attribute domain is mapped to the two-dimensional image to obtain a two-dimensional attribute scalar map of the point cloud. The 2D attribute scalar map is processed using a convolutional neural network and the probability that each point belongs to a rivet point is calculated. The rivet point cloud is divided through a threshold according to the probability; and the point clouds belonging to a same rivet is clustered from the divided rivet point cloud using Euclidean cluster.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.