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US 2022/0092345 A1Published application
Detecting displacements and/or defects in a point cloud using cluster-based cloud-to-cloud comparison
AssigneeFaro Technologies, Inc.
InventorsMatthias WOLKE, Prashanth Reddy PATLOLLA
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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.
Claims23
A method comprising:
- performing cluster matching with one or more cluster sizes for each of a plurality of points of a measurement point cloud;
- and
- determining, based on results of the multi-radii cluster matching, whether an object is displaced or whether the object includes a defect.
A method comprising:
- acquiring a measured point cloud of an object using a three-dimensional scanner to scan the object;
- performing a point cloud alignment between the measured point cloud and a reference point cloud;
- performing a multi-scale model-to-model cloud comparison between the measurement point cloud and the reference point;
- performing displaced points filtering;
- performing multi-radii cluster matching;
- performing extraction of displaced points;
- performing segmentation;
- performing segment matching;
- performing segments filtering;
- and
- determining whether the object is displaced.
8 more elements
Dependencies are inferred from the claim text.