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公开(公告)号：US20220270290A1
公开(公告)日：2022-08-25
申请号：US17745125
申请日：2022-05-16
Applicant: Google LLC
Inventor： Jianing Wei , Matthias Grundmann
Abstract: The present disclosure provides systems and methods for calibration-free instant motion tracking useful, for example, for rending virtual content in augmented reality settings. In particular, a computing system can iteratively augment image frames that depict a scene to insert virtual content at an anchor region within the scene, including situations in which the anchor region moves relative to the scene. To do so, the computing system can estimate, for each of a number of sequential image frames: a rotation of an image capture system that captures the image frames; and a translation of the anchor region relative to an image capture system, thereby providing sufficient information to determine where and at what orientation to render the virtual content within the image frame.
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公开(公告)号：US12272096B2
公开(公告)日：2025-04-08
申请号：US18335614
申请日：2023-06-15
Applicant: Google LLC
Inventor： Jianing Wei , Matthias Grundmann
Abstract: The present disclosure provides systems and methods for calibration-free instant motion tracking useful, for example, for rending virtual content in augmented reality settings. In particular, a computing system can iteratively augment image frames that depict a scene to insert virtual content at an anchor region within the scene, including situations in which the anchor region moves relative to the scene. To do so, the computing system can estimate, for each of a number of sequential image frames: a rotation of an image capture system that captures the image frames; and a translation of the anchor region relative to an image capture system, thereby providing sufficient information to determine where and at what orientation to render the virtual content within the image frame.
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公开(公告)号：US11341676B2
公开(公告)日：2022-05-24
申请号：US16717603
申请日：2019-12-17
Applicant: Google LLC
Inventor： Jianing Wei , Matthias Grundmann
Abstract: The present disclosure provides systems and methods for calibration-free instant motion tracking useful, for example, for rending virtual content in augmented reality settings. In particular, a computing system can iteratively augment image frames that depict a scene to insert virtual content at an anchor region within the scene, including situations in which the anchor region moves relative to the scene. To do so, the computing system can estimate, for each of a number of sequential image frames: a rotation of an image capture system that captures the image frames; and a translation of the anchor region relative to an image capture system, thereby providing sufficient information to determine where and at what orientation to render the virtual content within the image frame.
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公开(公告)号：US20200250852A1
公开(公告)日：2020-08-06
申请号：US16717603
申请日：2019-12-17
Applicant: Google LLC
Inventor： Jianing Wei , Matthias Grundmann
Abstract: The present disclosure provides systems and methods for calibration-free instant motion tracking useful, for example, for rending virtual content in augmented reality settings. In particular, a computing system can iteratively augment image frames that depict a scene to insert virtual content at an anchor region within the scene, including situations in which the anchor region moves relative to the scene. To do so, the computing system can estimate, for each of a number of sequential image frames: a rotation of an image capture system that captures the image frames; and a translation of the anchor region relative to an image capture system, thereby providing sufficient information to determine where and at what orientation to render the virtual content within the image frame.
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公开(公告)号：US20230351724A1
公开(公告)日：2023-11-02
申请号：US17800688
申请日：2020-02-18
Applicant: Google LLC
Inventor： Tingbo Hou , Adel Ahmadyan , Jianing Wei , Matthias Grundmann
CPC classification number: G06V10/751 , G06V10/817 , G06V20/46 , G06T7/70 , G06V2201/12 , G06V2201/07 , G06T2207/20081
Abstract: The present disclosure is directed to systems and methods for performing object detection and pose estimation in 3D from 2D images. Object detection can be performed by a machine-learned model configured to determine various object properties. Implementations according to the disclosure can use these properties to estimate object pose and size.
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Patent Agency Ranking
公开(公告)号：US11770551B2
公开(公告)日：2023-09-26
申请号：US17122292
申请日：2020-12-15
Applicant: Google LLC
Inventor： Adel Ahmadyan , Tingbo Hou , Jianing Wei , Liangkai Zhang , Artsiom Ablavatski , Matthias Grundmann
IPC: G06V10/00 , H04N19/54 , H04N19/593 , H04N19/17 , H04N19/105 , H04N19/62 , G06V20/40
CPC classification number: H04N19/54 , G06V20/49 , H04N19/105 , H04N19/17 , H04N19/593 , H04N19/62
Abstract: A method includes receiving a video comprising images representing an object, and determining, using a machine learning model, based on a first image of the images, and for each respective vertex of vertices of a bounding volume for the object, first two-dimensional (2D) coordinates of the respective vertex. The method also includes tracking, from the first image to a second image of the images, a position of each respective vertex along a plane underlying the bounding volume, and determining, for each respective vertex, second 2D coordinates of the respective vertex based on the position of the respective vertex along the plane. The method further includes determining, for each respective vertex, (i) first three-dimensional (3D) coordinates of the respective vertex based on the first 2D coordinates and (ii) second 3D coordinates of the respective vertex based on the second 2D coordinates.
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公开(公告)号：US11721039B2
公开(公告)日：2023-08-08
申请号：US17745125
申请日：2022-05-16
Applicant: Google LLC
Inventor： Jianing Wei , Matthias Grundmann
CPC classification number: G06T7/74 , G01C19/00 , G02B27/017 , G06T19/006 , G06T19/20 , G06T2219/2004 , G06T2219/2016
Abstract: The present disclosure provides systems and methods for calibration-free instant motion tracking useful, for example, for rending virtual content in augmented reality settings. In particular, a computing system can iteratively augment image frames that depict a scene to insert virtual content at an anchor region within the scene, including situations in which the anchor region moves relative to the scene. To do so, the computing system can estimate, for each of a number of sequential image frames: a rotation of an image capture system that captures the image frames; and a translation of the anchor region relative to an image capture system, thereby providing sufficient information to determine where and at what orientation to render the virtual content within the image frame.
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公开(公告)号：US20220415030A1
公开(公告)日：2022-12-29
申请号：US17778085
申请日：2019-11-19
Applicant: Tingbo HOU , Jianing WEI , Adel AHMADYAN , Matthias GRUNDMANN , Google LLC
Inventor： Tingbo Hou , Jianing Wei , Adel Ahmadyan , Matthias Grundmann
IPC: G06V10/774 , G06V20/64
Abstract: The present disclosure is directed to systems and methods for generating synthetic training data using augmented reality (AR) techniques. For example, images of a scene can be used to generate a three-dimensional mapping of the scene. The three-dimensional mapping may be associated with the images to indicate locations for positioning a virtual object. Using an AR rendering engine, implementations can generate an and orientation. The augmented image can then be stored in a machine learning dataset and associated with a label based on aspects of the virtual object.
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公开(公告)号：US20220191542A1
公开(公告)日：2022-06-16
申请号：US17122292
申请日：2020-12-15
Applicant: Google LLC
Inventor： Adel Ahmadyan , Tingbo Hou , Jianing Wei , Liangkai Zhang , Artsiom Ablavatski , Matthias Grundmann
IPC: H04N19/54 , G06K9/00 , H04N19/62 , H04N19/17 , H04N19/105 , H04N19/593
Abstract: A method includes receiving a video comprising images representing an object, and determining, using a machine learning model, based on a first image of the images, and for each respective vertex of vertices of a bounding volume for the object, first two-dimensional (2D) coordinates of the respective vertex. The method also includes tracking, from the first image to a second image of the images, a position of each respective vertex along a plane underlying the bounding volume, and determining, for each respective vertex, second 2D coordinates of the respective vertex based on the position of the respective vertex along the plane. The method further includes determining, for each respective vertex, (i) first three-dimensional (3D) coordinates of the respective vertex based on the first 2D coordinates and (ii) second 3D coordinates of the respective vertex based on the second 2D coordinates.
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公开(公告)号：US20230326073A1
公开(公告)日：2023-10-12
申请号：US18335614
申请日：2023-06-15
Applicant: Google LLC
Inventor： Jianing Wei , Matthias Grundmann
CPC classification number: G06T7/74 , G06T19/006 , G06T19/20 , G01C19/00 , G02B27/017 , G06T2219/2004 , G06T2219/2016
Abstract: The present disclosure provides systems and methods for calibration-free instant motion tracking useful, for example, for rending virtual content in augmented reality settings. In particular, a computing system can iteratively augment image frames that depict a scene to insert virtual content at an anchor region within the scene, including situations in which the anchor region moves relative to the scene. To do so, the computing system can estimate, for each of a number of sequential image frames: a rotation of an image capture system that captures the image frames; and a translation of the anchor region relative to an image capture system, thereby providing sufficient information to determine where and at what orientation to render the virtual content within the image frame.
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