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公开(公告)号：US11200405B2
公开(公告)日：2021-12-14
申请号：US16426460
申请日：2019-05-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seungju Han , Minsu Ko , Jaejoon Han , Chang Kyu Choi
Abstract: A three-dimensional (3D) image-based facial verification method and apparatus is provided. The facial verification method may include capturing a facial image of a 3D face of a user, determining an occluded region in the captured facial image by comparing the captured facial image and an average facial image, generating a synthetic image by synthesizing the captured facial image and the average facial image based on the occluded region, and verifying the user based on the synthetic image.
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公开(公告)号：US11163982B2
公开(公告)日：2021-11-02
申请号：US16508527
申请日：2019-07-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungju Han , Minsu Ko , Deoksang Kim , Chang Kyu Choi , Jaejoon Han
Abstract: A face verifying method and apparatus. The face verifying method includes detecting a face region from an input image, generating a synthesized face image by combining image information of the face region and reference image information, based on a determined masking region, extracting one or more face features from the face region and the synthesized face image, performing a verification operation with respect to the one or more face features and predetermined registration information, and indicating whether verification of the input image is successful based on a result of the performed verification operation.
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公开(公告)号：US20210223031A1
公开(公告)日：2021-07-22
申请号：US16952959
申请日：2020-11-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Suyeon LEE , Unjeong KIM , Hyuck CHOO , Seungju Han , Hyochul KIM
Abstract: An object recognition apparatus includes a first spectrometer configured to obtain a first type of spectrum data from light scattered, emitted, or reflected from an object; a second spectrometer configured to obtain a second type of spectrum data from the light scattered, emitted, or reflected from the object, the second type of spectrum data being different from the first type of spectrum data; an image sensor configured to obtain image data of the object; and a processor configured to identify the object using data obtained from at least two from among the first spectrometer, the second spectrometer, and the image sensor and using at least two pattern recognition algorithms.
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公开(公告)号：US10990658B2
公开(公告)日：2021-04-27
申请号：US15489053
申请日：2017-04-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sungjoo Suh , Seungju Han , Jae-Joon Han , Chang Kyu Choi
Abstract: A user verification apparatus may perform user verification using multiple biometric verifiers. The user verification apparatus may set a termination stage of one or more biometric verifiers. Multiple biometric verifiers may be used to generate outputs, for which separate termination stages are set to establish a particular combination of set termination stages associated with the multiple biometric verifiers, and the user verification apparatus may fuse outputs of the biometric verifiers based on the particular combination of set termination stages. The user verification apparatus may verify a user based on a result of the fusing, and an unlocking command signal may be generated based on the verifying. The unlocking command signal may be generated to selectively grant access, to the verified user, to one or more elements of a device. The device may be a vehicle.
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公开(公告)号：US10733424B2
公开(公告)日：2020-08-04
申请号：US15833292
申请日：2017-12-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Changyong Son , Wonsuk Chang , Deoksang Kim , Dae-Kyu Shin , Byungin Yoo , Seungju Han , Jaejoon Han , Jinwoo Son , Chang Kyu Choi
Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.
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Patent Agency Ranking
公开(公告)号：US10275684B2
公开(公告)日：2019-04-30
申请号：US15296503
申请日：2016-10-18
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungju Han , Byungin Yoo , Jaejoon Han
Abstract: An authentication method and apparatus, and a method and apparatus for training a recognizer are provided. The authentication method may include determining whether authentication of an input image succeeds by comparing a similarity associated with an intermediate layer to a threshold.
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公开(公告)号：US12300025B2
公开(公告)日：2025-05-13
申请号：US18419874
申请日：2024-01-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungju Han , Minsu Ko , Deoksang Kim , Jae-Joon Han
IPC: G06V40/16
Abstract: A facial verification method and apparatus is disclosed. The facial verification method includes detecting a face region in an input image, determining whether the detected face region represents a partial face, in response to a determination that the detected face region represents the partial face, generating a synthesized image by combining image information of the detected face region and reference image information, performing a verification operation with respect to the synthesized image and predetermined first registration information, and indicating whether facial verification of the input image is successful based on a result of the performed verification operation.
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公开(公告)号：US12175729B2
公开(公告)日：2024-12-24
申请号：US18456713
申请日：2023-08-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungju Han , Byung Kwan Kim , Jong-Sok Kim , Sungdo Choi
Abstract: Disclosed is a liveness test method and liveness test apparatus. The liveness test method includes determining a presence of a subject using a radar sensor, performing a first liveness test on the subject based on radar data obtained by the radar sensor, in response to the subject being present, acquiring image data of the subject using an image sensor, in response to a result of the first liveness test satisfying a first condition, and performing a second liveness test on the subject based on the image data.
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公开(公告)号：US11967124B2
公开(公告)日：2024-04-23
申请号：US17322976
申请日：2021-05-18
Applicant: SAMSUNG ELECTRONICS CO., LTD. , SNU R&DB FOUNDATION
Inventor： Seong-Jin Park , Hyun Oh Song , Gaon An , Seungju Han
IPC: G06K9/00 , G06F18/21 , G06F18/214 , G06F18/24 , G06N3/094 , G06V10/30 , G06V10/764 , G06V10/774 , G06V10/82
CPC classification number: G06V10/30 , G06F18/214 , G06F18/217 , G06F18/24 , G06N3/094 , G06V10/764 , G06V10/774 , G06V10/82
Abstract: A method and apparatus for classification using a neural network. A classification apparatus includes at least one processor and a memory. The memory is configured to store a classifier and a preprocessor including a defensive noise generator. The at least one processor generates defensive noise from an input image through the defensive noise generator in the preprocessor, generates a combined image by combining the input image and the defensive noise, and outputs a classification result by inputting the combined image to the classifier.
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公开(公告)号：US11868428B2
公开(公告)日：2024-01-09
申请号：US17340134
申请日：2021-06-07
Inventor： Seon Min Rhee , Jaekyeom Kim , Gunhee Kim , Minjung Kim , Dongyeon Woo , Seungju Han
IPC: G06V10/40 , G06F18/211 , G06N3/08 , G06F21/34 , G06F18/22 , G06F18/214 , G06V10/74 , G06V10/774 , G06V10/82 , G06V40/16
CPC classification number: G06F18/211 , G06F18/214 , G06F18/22 , G06F21/34 , G06N3/08 , G06V10/40 , G06V10/74 , G06V10/774 , G06V10/82 , G06V40/172
Abstract: A neural network includes a drop layer configured to drops feature values. A method of computation using the neural network includes extracting feature data from input data using a first portion of a neural network, generating compressed representation data of the extracted feature data by dropping a feature value from the extracted feature data at a drop layer of the neural network based on a drop probability corresponding to the feature value, and indicating an inference result from the compressed representation data using a second portion of the neural network.
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