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公开(公告)号：US11100720B2
公开(公告)日：2021-08-24
申请号：US17031676
申请日：2020-09-24
Applicant: Apple Inc.
Inventor： Daniel Ulbricht , Amit Kumar K C , Angela Blechschmidt , Chen-Yu Lee , Eshan Verma , Mohammad Haris Baig , Tanmay Batra
Abstract: In one implementation, a method of generating a depth map is performed by a device including one or more processors, non-transitory memory, and a scene camera. The method includes generating, based on a first image and a second image, a first depth map of the second image. The method includes generating, based on the first depth map of the second image and pixel values of the second image, a second depth map of the second image.
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公开(公告)号：US20230206623A1
公开(公告)日：2023-06-29
申请号：US18111541
申请日：2023-02-18
Applicant: Apple Inc.
Inventor： Daniel Ulbricht , Angela Blechschmidt , Mohammad Haris Baig , Tanmay Batra , Eshan Verma , Amit Kumar KC
IPC: G06V20/10 , G06T7/70 , G06V30/262 , G06T19/00 , G06F18/24
CPC classification number: G06V20/10 , G06T7/70 , G06V30/274 , G06T19/006 , G06F18/24 , G06T2200/24 , G06T2207/10028 , G06T2207/20084
Abstract: In one implementation, a method of generating a plane hypothesis is performed by a device including one or more processors, non-transitory memory, and a scene camera. The method includes obtaining an image of a scene including a plurality of pixels. The method includes obtaining a plurality of points of a point cloud based on the image of the scene. The method includes obtaining an object classification set based on the image of the scene. Each element of the object classification set includes a plurality of pixels respectively associated with a corresponding object in the scene. The method includes detecting a plane within the scene by identifying a subset of the plurality of points of the point cloud that correspond to a particular element of the object classification set.
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公开(公告)号：US11610414B1
公开(公告)日：2023-03-21
申请号：US16795732
申请日：2020-02-20
Applicant: Apple Inc.
Inventor： Mohammad Haris Baig , Angela Blechschmidt , Daniel Ulbricht
IPC: G06K9/00 , G06V20/64 , G06V10/28 , G06V20/10 , G06F18/214
Abstract: A machine learning model is trained and used to perform a computer vision task such as semantic segmentation or normal direction prediction. The model uses a current image of a physical setting and input generated from three dimensional (3D) anchor points that store information determined from prior assessments of the physical setting. The 3D anchor points store previously-determined computer vision task information for the physical setting for particular 3D points locations in a 3D worlds space, e.g., an x, y, z coordinate system that is independent of image capture device pose. For example, 3D anchor points may store previously-determined semantic labels or normal directions for 3D points identified by simultaneous localization and mapping (SLAM) processes. The 3D anchor points are stored and used to generate input for the machine model as the model continues to reason about future images of the physical setting.
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公开(公告)号：US20210406541A1
公开(公告)日：2021-12-30
申请号：US17473469
申请日：2021-09-13
Applicant: Apple Inc.
Inventor： Daniel Ulbricht , Angela Blechschmidt , Mohammad Haris Baig , Tanmay Batra , Eshan Verma , Amit Kumar KC
Abstract: In one implementation, a method of generating a plane hypothesis is performed by a device including one or more processors, non-transitory memory, and a scene camera. The method includes obtaining an image of a scene including a plurality of pixels. The method includes obtaining a plurality of points of a point cloud based on the image of the scene. The method includes obtaining an object classification set based on the image of the scene. Each element of the object classification set includes a plurality of pixels respectively associated with a corresponding object in the scene. The method includes detecting a plane within the scene by identifying a subset of the plurality of points of the point cloud that correspond to a particular element of the object classification set.
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公开(公告)号：US11189103B2
公开(公告)日：2021-11-30
申请号：US16924559
申请日：2020-07-09
Applicant: Apple Inc.
Inventor： Eshan Verma , Daniel Ulbricht , Angela Blechschmidt , Mohammad Haris Baig , Chen-Yu Lee , Tanmay Batra
Abstract: Various implementations disclosed herein include devices, systems, and methods that enable faster and more efficient real-time physical object recognition, information retrieval, and updating of a CGR environment. In some implementations, the CGR environment is provided at a first device based on a classification of the physical object, image or video data including the physical object is transmitted by the first device to a second device, and the CGR environment is updated by the first device based on a response associated with the physical object received from the second device.
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Patent Agency Ranking
公开(公告)号：US20210035367A1
公开(公告)日：2021-02-04
申请号：US16924559
申请日：2020-07-09
Applicant: Apple Inc.
Inventor： Eshan Verma , Daniel Ulbricht , Angela Blechschmidt , Mohammad Haris Baig , Chen-Yu Lee , Tanmay Batra
IPC: G06T19/00
Abstract: Various implementations disclosed herein include devices, systems, and methods that enable faster and more efficient real-time physical object recognition, information retrieval, and updating of a CGR environment. In some implementations, the CGR environment is provided at a first device based on a classification of the physical object, image or video data including the physical object is transmitted by the first device to a second device, and the CGR environment is updated by the first device based on a response associated with the physical object received from the second device.
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公开(公告)号：US20210019949A1
公开(公告)日：2021-01-21
申请号：US17031676
申请日：2020-09-24
Applicant: Apple Inc.
Inventor： Daniel Ulbricht , Amit Kumar K C , Angela Blechschmidt , Chen-Yu Lee , Eshan Verma , Mohammad Haris Baig , Tanmay Batra
Abstract: In one implementation, a method of generating a depth map is performed by a device including one or more processors, non-transitory memory, and a scene camera. The method includes generating, based on a first image and a second image, a first depth map of the second image. The method includes generating, based on the first depth map of the second image and pixel values of the second image, a second depth map of the second image.
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公开(公告)号：US20210012112A1
公开(公告)日：2021-01-14
申请号：US17032213
申请日：2020-09-25
Applicant: Apple Inc.
Inventor： Daniel Ulbricht , Angela Blechschmidt , Mohammad Haris Baig , Tanmay Batra , Eshan Verma , Amit Kumar KC
Abstract: In one implementation, a method of generating a plane hypothesis is performed by a head-mounted device (HMD) including one or more processors, non-transitory memory, and a scene camera. The method includes obtaining an image of a scene including a plurality of pixels. The method include obtaining a point cloud based on the image of the scene and generating an object classification set based on the image of the scene, each element of the object classification set including a respective plurality of pixels classified as a respective object in the scene. The method includes generating a plane hypothesis based on the point cloud and the object classification set.
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公开(公告)号：US20190392213A1
公开(公告)日：2019-12-26
申请号：US16360732
申请日：2019-03-21
Applicant: Apple Inc.
Inventor： Daniel Ulbricht , Angela Blechschmidt , Mohammad Haris Baig , Tanmay Batra , Eshan Verma , Amit Kumar KC
Abstract: In one implementation, a method of generating a plane hypothesis is performed by a head-mounted device (HMD) including one or more processors, non-transitory memory, and a scene camera. The method includes obtaining an image of a scene including a plurality of pixels. The method include obtaining a point cloud based on the image of the scene and generating an object classification set based on the image of the scene, each element of the object classification set including a respective plurality of pixels classified as a respective object in the scene. The method includes generating a plane hypothesis based on the point cloud and the object classification set.
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公开(公告)号：US11972607B2
公开(公告)日：2024-04-30
申请号：US18111541
申请日：2023-02-18
Applicant: Apple Inc.
Inventor： Daniel Ulbricht , Angela Blechschmidt , Mohammad Haris Baig , Tanmay Batra , Eshan Verma , Amit Kumar Kc
IPC: G06V20/10 , G06F18/24 , G06T7/70 , G06T19/00 , G06V30/262
CPC classification number: G06V20/10 , G06F18/24 , G06T7/70 , G06T19/006 , G06V30/274 , G06T2200/24 , G06T2207/10028 , G06T2207/20084
Abstract: In one implementation, a method of generating a plane hypothesis is performed by a device including one or more processors, non-transitory memory, and a scene camera. The method includes obtaining an image of a scene including a plurality of pixels. The method includes obtaining a plurality of points of a point cloud based on the image of the scene. The method includes obtaining an object classification set based on the image of the scene. Each element of the object classification set includes a plurality of pixels respectively associated with a corresponding object in the scene. The method includes detecting a plane within the scene by identifying a subset of the plurality of points of the point cloud that correspond to a particular element of the object classification set.
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