FARO Technologies, Inc.
DETECTING DISPLACEMENTS AND/OR DEFECTS IN A POINT CLOUD USING CLUSTER-BASED CLOUD-TO-CLOUD COMPARISON

Last updated:

Abstract:

Examples described herein provide a method that includes performing cluster matching with one or more cluster sizes for each of a plurality of points of a measurement point cloud. The method further includes determining, based on results of the multi-radii cluster matching, whether an object is displaced or whether the object includes a defect.

Status:
Application
Type:

Utility

Filling date:

4 Jun 2021

Issue date:

24 Mar 2022