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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
发明人： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
摘要： 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
发明人： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
摘要： 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
发明人： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
摘要： 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：US10600194B2
公开(公告)日：2020-03-24
申请号：US15685867
申请日：2017-08-24
发明人： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
IPC分类号： G06T7/55 , G01C11/02 , G05D1/00 , G06T17/00 , G06T7/521 , G05D1/10 , G06T5/00 , G06T7/00 , G08G5/00 , G06T15/20 , H04L29/08
摘要： 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
发明人： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
IPC分类号： G06T7/55 , G01C11/02 , G05D1/00 , G06T17/00 , G06T7/521 , G05D1/10 , G06T5/00 , G06T7/00 , G08G5/00
摘要： 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
发明人： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
摘要： 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：US11315272B2
公开(公告)日：2022-04-26
申请号：US16783923
申请日：2020-02-06
发明人： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
IPC分类号： G06T7/55 , G01C11/02 , G05D1/00 , G06T17/00 , G06T7/521 , G05D1/10 , G06T5/00 , G06T7/00 , G08G5/00 , G06T15/20 , H04L67/12
摘要： 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
发明人： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
摘要： 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：US20190311661A1
公开(公告)日：2019-10-10
申请号：US16436583
申请日：2019-06-10
IPC分类号： G09F27/00
摘要： An advertising system is disclosed. In one embodiment, the system includes an advertising station including a display and configured to provide advertising content to potential customers via the display and one or more cameras configured to capture images of the potential customers when proximate to the advertising station. The system may also include a data processing system to analyze the captured images to determine gaze directions and body pose directions for the potential customers, and to determine interest levels of the potential customers in the advertising content based on the determined gaze directions and body pose directions. Various other systems, methods, and articles of manufacture are also disclosed.
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