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公开(公告)号：US10600194B2
公开(公告)日：2020-03-24
申请号：US15685867
申请日：2017-08-24
Applicant: General Electric Company
Inventor： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
IPC: G06T7/55 , G01C11/02 , G05D1/00 , G06T17/00 , G06T7/521 , G05D1/10 , G06T5/00 , G06T7/00 , G08G5/00 , G06T15/20 , H04L29/08
Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
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公开(公告)号：US20200175703A1
公开(公告)日：2020-06-04
申请号：US16783923
申请日：2020-02-06
Applicant: General Electric Company
Inventor： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
IPC: G06T7/55 , G01C11/02 , G05D1/00 , G06T17/00 , G06T7/521 , G05D1/10 , G06T5/00 , G06T7/00 , G08G5/00
Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
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公开(公告)号：US20190066283A1
公开(公告)日：2019-02-28
申请号：US15684695
申请日：2017-08-23
Applicant: General Electric Company
Inventor： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
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Patent Agency Ranking
公开(公告)号：US11315272B2
公开(公告)日：2022-04-26
申请号：US16783923
申请日：2020-02-06
Applicant: General Electric Company
Inventor： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
IPC: G06T7/55 , G01C11/02 , G05D1/00 , G06T17/00 , G06T7/521 , G05D1/10 , G06T5/00 , G06T7/00 , G08G5/00 , G06T15/20 , H04L67/12
Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
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公开(公告)号：US10679338B2
公开(公告)日：2020-06-09
申请号：US15684695
申请日：2017-08-23
Applicant: General Electric Company
Inventor： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
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公开(公告)号：US11145051B2
公开(公告)日：2021-10-12
申请号：US16862107
申请日：2020-04-29
Applicant: General Electric Company
Inventor： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
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公开(公告)号：US20200258207A1
公开(公告)日：2020-08-13
申请号：US16862107
申请日：2020-04-29
Applicant: General Electric Company
Inventor： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
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公开(公告)号：US20190066317A1
公开(公告)日：2019-02-28
申请号：US15685867
申请日：2017-08-24
Applicant: General Electric Company
Inventor： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
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