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公开(公告)号：US11915460B2
公开(公告)日：2024-02-27
申请号：US17860030
申请日：2022-07-07
Applicant: Apple Inc.
Inventor： Carlos E. Guestrin , Leon A. Gatys , Shreyas V. Joshi , Gustav M. Larsson , Kory R. Watson , Srikrishna Sridhar , Karla P. Vega , Shawn R. Scully , Thorsten Gernoth , Onur C Hamsici
IPC: G06T7/194 , G06V10/143 , G06N20/00 , G06T3/40 , G06V10/774
CPC classification number: G06V10/143 , G06N20/00 , G06T3/40 , G06T7/194 , G06V10/774 , G06T2207/10024 , G06T2207/10048 , G06T2207/20081 , G06T2207/20224 , G06T2207/30201
Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.
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公开(公告)号：US11386355B2
公开(公告)日：2022-07-12
申请号：US16706578
申请日：2019-12-06
Applicant: Apple Inc.
Inventor： Carlos E. Guestrin , Leon A. Gatys , Shreyas V. Joshi , Gustav M. Larsson , Kory R. Watson , Srikrishna Sridhar , Karla P. Vega , Shawn R. Scully , Thorsten Gernoth , Onur C Hamsici
Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.
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公开(公告)号：US20230094061A1
公开(公告)日：2023-03-30
申请号：US18072855
申请日：2022-12-01
Applicant: Apple Inc.
Inventor： Amit Jain , Aditya Sankar , Qi Shan , Alexandre Da Veiga , Shreyas V. Joshi
Abstract: Various implementations disclosed herein include devices, systems, and methods that provide measurements of objects based on a location of a surface of the objects. An exemplary process may include obtaining a three-dimensional (3D) representation of a physical environment that was generated based on depth data and light intensity image data, generating a 3D bounding box corresponding to an object in the physical environment based on the 3D representation, determining a class of the object based on the 3D semantic data, determining a location of a surface of the object based on the class of the object, the location determined by identifying a plane within the 3D bounding box having semantics in the 3D semantic data satisfying surface criteria for the object, and providing a measurement of the object, the measurement of the object determined based on the location of the surface of the object.
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Patent Agency Ranking
公开(公告)号：US12223669B2
公开(公告)日：2025-02-11
申请号：US17670686
申请日：2022-02-14
Applicant: Apple Inc.
Inventor： Aditya Sankar , Qi Shan , Shreyas V. Joshi , David Guera Cobo , Fareeha Irfan , Bryan M. Perfetti
Abstract: Various implementations disclosed herein include devices, systems, and methods that determine a wrist measurement or watch band size using depth data captured by a depth sensor from one or more rotational orientations of the wrist. In some implementations, depth data captured by a depth sensor including at least two depth map images of a wrist from different angles is obtained. In some implementations, an output is generated based on inputting the depth data into a machine learning model, the output corresponding to circumference of the wrist or a watch band size of the wrist. Then, a watch band size recommendation is provided based on the output.
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公开(公告)号：US11763479B2
公开(公告)日：2023-09-19
申请号：US18072855
申请日：2022-12-01
Applicant: Apple Inc.
Inventor： Amit Jain , Aditya Sankar , Qi Shan , Alexandre Da Veiga , Shreyas V. Joshi
IPC: G06T7/62 , G06T7/60 , G06V20/64 , G06F18/241 , G06V10/764 , G06V10/80 , G06V10/82 , G06V10/70 , G06V10/44 , G06V20/00 , G06V10/22
CPC classification number: G06T7/62 , G06F18/241 , G06T7/60 , G06V10/22 , G06V10/454 , G06V10/764 , G06V10/803 , G06V10/82 , G06V10/87 , G06V20/00 , G06V20/64 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084
Abstract: Various implementations disclosed herein include devices, systems, and methods that provide measurements of objects based on a location of a surface of the objects. An exemplary process may include obtaining a three-dimensional (3D) representation of a physical environment that was generated based on depth data and light intensity image data, generating a 3D bounding box corresponding to an object in the physical environment based on the 3D representation, determining a class of the object based on the 3D semantic data, determining a location of a surface of the object based on the class of the object, the location determined by identifying a plane within the 3D bounding box having semantics in the 3D semantic data satisfying surface criteria for the object, and providing a measurement of the object, the measurement of the object determined based on the location of the surface of the object.
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公开(公告)号：US11574485B2
公开(公告)日：2023-02-07
申请号：US17148965
申请日：2021-01-14
Applicant: Apple Inc.
Inventor： Amit Jain , Aditya Sankar , Qi Shan , Alexandre Da Veiga , Shreyas V. Joshi
Abstract: Various implementations disclosed herein include devices, systems, and methods that obtain a three-dimensional (3D) representation of a physical environment that was generated based on depth data and light intensity image data, generate a 3D bounding box corresponding to an object in the physical environment based on the 3D representation, classify the object based on the 3D bounding box and the 3D semantic data, and display a measurement of the object, where the measurement of the object is determined using one of a plurality of class-specific neural networks selected based on the classifying of the object.
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公开(公告)号：US20220262025A1
公开(公告)日：2022-08-18
申请号：US17670686
申请日：2022-02-14
Applicant: Apple Inc.
Inventor： Aditya Sankar , Qi Shan , Shreyas V. Joshi , David Guera Cobo , Fareeha lrfan , Bryan M. Perfetti
Abstract: Various implementations disclosed herein include devices, systems, and methods that determine a wrist measurement or watch band size using depth data captured by a depth sensor from one or more rotational orientations of the wrist. In some implementations, depth data captured by a depth sensor including at least two depth map images of a wrist from different angles is obtained. In some implementations, an output is generated based on inputting the depth data into a machine learning model, the output corresponding to circumference of the wrist or a watch band size of the wrist. Then, a watch band size recommendation is provided based on the output.
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公开(公告)号：US20210224516A1
公开(公告)日：2021-07-22
申请号：US17148965
申请日：2021-01-14
Applicant: Apple Inc.
Inventor： Amit Jain , Aditya Sankar , Qi Shan , Alexandre Da Veiga , Shreyas V. Joshi
Abstract: Various implementations disclosed herein include devices, systems, and methods that obtain a three-dimensional (3D) representation of a physical environment that was generated based on depth data and light intensity image data, generate a 3D bounding box corresponding to an object in the physical environment based on the 3D representation, classify the object based on the 3D bounding box and the 3D semantic data, and display a measurement of the object, where the measurement of the object is determined using one of a plurality of class-specific neural networks selected based on the classifying of the object.
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