Invention Grant
- Patent Title: Autonomous performance of an operation on an object using a generated dense 3D model of the object
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Application No.: US15467615Application Date: 2017-03-23
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Publication No.: US10574967B2Publication Date: 2020-02-25
- Inventor: Hyukseong Kwon , Kyungnam Kim , Heiko Hoffmann
- Applicant: The Boeing Company
- Applicant Address: US IL Chicago
- Assignee: The Boeing Company
- Current Assignee: The Boeing Company
- Current Assignee Address: US IL Chicago
- Agency: Sage Patent Group
- Main IPC: H04N13/00
- IPC: H04N13/00 ; H04N13/204 ; G06T17/00 ; H04N13/156 ; H04N13/122 ; G06T7/579 ; H04N13/221

Abstract:
A method for performing an operation on an object includes capturing a plurality of images of the object. Each image is a different view of the object. The method also includes generating a sparse 3D point cloud from the plurality of images. The sparse 3D point cloud defines a 3D model of the object. The sparse 3D point cloud includes a multiplicity of missing points that each correspond to a hole in the 3D model that renders the 3D model unusable for performing the operation on the object. The method additionally includes performing curvature-based upsampling to generate a denser 3D point cloud. The denser 3D point cloud includes a plurality of filled missing points. The missing points are filled from performance of the curvature-based upsampling. The denser 3D point cloud defines a dense 3D model that is useable for performing the operation on the object.
Public/Granted literature
- US20180276793A1 AUTONOMOUS PERFORMANCE OF AN OPERATION ON AN OBJECT USING A GENERATED DENSE 3D MODEL OF THE OBJECT Public/Granted day:2018-09-27
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