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公开(公告)号：US20220092334A1
公开(公告)日：2022-03-24
申请号：US17410630
申请日：2021-08-24
Applicant: Apple Inc.
Inventor： Chen Huang , Seyed Hesameddin Najafi Shoushtari , Frankie Lu , Shih-Yu Sun , Joshua M. Susskind
Abstract: Feature descriptor matching is reformulated into a graph-matching problem. Keypoints from a query image and a reference image are initially matched and filtered based on the match. For a given keypoint, a feature graph is constructed based on neighboring keypoints surrounding the given keypoint. The feature graph is compared to a corresponding feature graph of a reference image for the matched keypoint. Relocalization data is obtained based on the comparison.
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公开(公告)号：US11163981B2
公开(公告)日：2021-11-02
申请号：US16277282
申请日：2019-02-15
Applicant: Apple Inc.
Inventor： Joshua M. Susskind , Walter A. Talbott , Shih-Yu Sun , Feng Tang
Abstract: A facial recognition authentication process operating on a device may capture an image of a user using a camera on the device. The facial recognition authentication process may include operating a full face facial recognition authentication process on the captured image or operating a partial face facial recognition authentication process on the captured image. The process may determine which process to operate (either full face or partial face) based on an assessment of an amount of occlusion in the captured image. The partial face facial recognition authentication process may be operated when there is at least some occlusion of selected features (e.g., nose and/or mouth) on the user's face in the captured image.
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Patent Agency Ranking
公开(公告)号：US20250005894A1
公开(公告)日：2025-01-02
申请号：US18886628
申请日：2024-09-16
Applicant: Apple Inc.
Inventor： Chen Huang , Seyed Hesameddin Najafi Shoushtari , Frankie Lu , Shih-Yu Sun , Joshua M. Susskind
Abstract: Feature descriptor matching is reformulated into a graph-matching problem. Keypoints from a query image and a reference image are initially matched and filtered based on the match. For a given keypoint, a feature graph is constructed based on neighboring keypoints surrounding the given keypoint. The feature graph is compared to a corresponding feature graph of a reference image for the matched keypoint. Relocalization data is obtained based on the comparison.
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公开(公告)号：US11281993B2
公开(公告)日：2022-03-22
申请号：US15832671
申请日：2017-12-05
Applicant: Apple Inc.
Inventor： Joshua M. Susskind , Feng Tang , Chen Huang , Shih-Yu Sun , Walter A. Talbot
IPC: G06F3/0488 , G06N20/00 , G06F3/04883 , G06N5/02 , G06F3/04817
Abstract: Systems and processes for metric learning distillation are disclosed herein. In accordance with one example, a method includes, at an electronic device, at an electronic device having one or more processors and memory, receiving a first plurality of vectors from a first model, receiving a second plurality of vectors from a second model, determining a first plurality of vector distances based on the first plurality of vectors, generating a first matrix based on the first plurality of vector distances, determining a second plurality of vector distances based on the second plurality of vectors, generating a second matrix based on the second plurality of vector distances, comparing the first matrix with the second matrix, and adjusting the second model based on the comparison of the first matrix and the second matrix.
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公开(公告)号：US20180157992A1
公开(公告)日：2018-06-07
申请号：US15832671
申请日：2017-12-05
Applicant: Apple Inc.
Inventor： Joshua M. Susskind , Feng Tang , Chen Huang , Shih-Yu Sun , Walter A. Talbot
CPC classification number: G06N20/00 , G06F3/04817 , G06F3/04883 , G06N5/02
Abstract: Systems and processes for metric learning distillation are disclosed herein. In accordance with one example, a method includes, at an electronic device, at an electronic device having one or more processors and memory, receiving a first plurality of vectors from a first model, receiving a second plurality of vectors from a second model, determining a first plurality of vector distances based on the first plurality of vectors, generating a first matrix based on the first plurality of vector distances, determining a second plurality of vector distances based on the second plurality of vectors, generating a second matrix based on the second plurality of vector distances, comparing the first matrix with the second matrix, and adjusting the second model based on the comparison of the first matrix and the second matrix.
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公开(公告)号：US12094184B2
公开(公告)日：2024-09-17
申请号：US17410630
申请日：2021-08-24
Applicant: Apple Inc.
Inventor： Chen Huang , Seyed Hesameddin Najafi Shoushtari , Frankie Lu , Shih-Yu Sun , Joshua M. Susskind
CPC classification number: G06V10/751 , G06V10/34 , G06V10/40
Abstract: Feature descriptor matching is reformulated into a graph-matching problem. Keypoints from a query image and a reference image are initially matched and filtered based on the match. For a given keypoint, a feature graph is constructed based on neighboring keypoints surrounding the given keypoint. The feature graph is compared to a corresponding feature graph of a reference image for the matched keypoint. Relocalization data is obtained based on the comparison.
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公开(公告)号：US20200082157A1
公开(公告)日：2020-03-12
申请号：US16277282
申请日：2019-02-15
Applicant: Apple Inc.
Inventor： Joshua M. Susskind , Walter A. Talbott , Shih-Yu Sun , Feng Tang
Abstract: A facial recognition authentication process operating on a device may capture an image of a user using a camera on the device. The facial recognition authentication process may include operating a full face facial recognition authentication process on the captured image or operating a partial face facial recognition authentication process on the captured image. The process may determine which process to operate (either full face or partial face) based on an assessment of an amount of occlusion in the captured image. The partial face facial recognition authentication process may be operated when there is at least some occlusion of selected features (e.g., nose and/or mouth) on the user's face in the captured image.
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