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公开(公告)号：US11625601B2
公开(公告)日：2023-04-11
申请号：US16564494
申请日：2019-09-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Changyong Son , Jinwoo Son , Byungin Yoo , Chang Kyu Choi , Jae-Joon Han
Abstract: A lightened neural network, method, and apparatus, and recognition method and apparatus implementing the same. A neural network includes a plurality of layers each comprising neurons and plural synapses connecting neurons included in neighboring layers. Synaptic weights with values greater than zero and less than a preset value of a variable a, which is greater than zero, may be at least partially set to zero. Synaptic weights with values greater than a preset value of a variable b, which is greater than zero, may be at least partially set to the preset value of the variable b.
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公开(公告)号：US10733422B2
公开(公告)日：2020-08-04
申请号：US16430811
申请日：2019-06-04
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seon Min Rhee , Jungbae Kim , Byungin Yoo , Jaejoon Han , Seungju Han
Abstract: Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.
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公开(公告)号：US10452976B2
公开(公告)日：2019-10-22
申请号：US15463553
申请日：2017-03-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Byungin Yoo , Youngsung Kim , Youngjun Kwak , Chang Kyu Choi
Abstract: A neural network recognition method includes obtaining a first neural network that includes layers and a second neural network that includes a layer connected to the first neural network, actuating a processor to compute a first feature map from input data based on a layer of the first neural network, compute a second feature map from the input data based on the layer connected to the first neural network in the second neural network, and generate a recognition result based on the first neural network from an intermediate feature map computed by applying an element-wise operation to the first feature map and the second feature map.
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公开(公告)号：US10140500B2
公开(公告)日：2018-11-27
申请号：US14933614
申请日：2015-11-05
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chang Kyu Choi , Wonjun Kim , Sungjoo Suh , Byungin Yoo , Jaejoon Han
Abstract: A fingerprint recognition method includes determining a code corresponding to a query image based on features of blocks in the query image, obtaining information corresponding to the determined code from a lookup table, and verifying the query image based on the obtained information.
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公开(公告)号：US12154377B2
公开(公告)日：2024-11-26
申请号：US18339484
申请日：2023-06-22
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：US12136292B2
公开(公告)日：2024-11-05
申请号：US18333195
申请日：2023-06-12
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. A mobile device may include one or more processors configured to obtain one or more images for a user, ascertain whether any of the one or more images correspond to respective user distances, from the user to the mobile device, outside of a threshold range of distances, and selectively, based on a result of the ascertaining, perform verification using a first verification threshold for any of the one or more images ascertained to correspond to the respective user distances that are outside the threshold range of distances, and perform verification using a less strict second verification threshold for any of the one or more images that have been ascertained to not correspond to the respective user distances that are outside the threshold range of distances.
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公开(公告)号：US11721131B2
公开(公告)日：2023-08-08
申请号：US17468995
申请日：2021-09-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungin Yoo , Jingtao Xu , Chao Zhang , Hao Feng , Yanhu Shan , Youngjun Kwak , Youngsung Kim , Wonsuk Chang , Jaejoon Han
CPC classification number: G06V40/45 , G06V40/161 , G06V40/169 , G06V40/172
Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.
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公开(公告)号：US11688105B2
公开(公告)日：2023-06-27
申请号：US17109762
申请日：2020-12-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Tianchu Guo , Youngsung Kim , Hui Zhang , Byungin Yoo , Chang Kyu Choi , Jae-Joon Han , Jingtao Xu , Deheng Qian
CPC classification number: G06T11/00 , G06F17/10 , G06T7/248 , G06V10/757 , G06V40/166 , G06V40/168 , G06V40/171 , G06V40/174 , G06T2207/30201
Abstract: A processor implemented method of processing a facial expression image, the method includes controlling a camera to capture a first facial expression image and a second facial expression image, acquiring a first expression feature of the first facial expression image, acquiring a second expression feature of the second facial expression image, generating a new expression feature dependent on differences between the acquired first expression feature and the acquired second expression feature, and adjusting a target facial expression image based on the new expression feature.
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公开(公告)号：US11386701B2
公开(公告)日：2022-07-12
申请号：US16881436
申请日：2020-05-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seon Min Rhee , Jungbae Kim , Byungin Yoo , Jaejoon Han , Seungju Han
Abstract: Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.
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公开(公告)号：US11222263B2
公开(公告)日：2022-01-11
申请号：US15630610
申请日：2017-06-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Changyong Son , Jinwoo Son , Byungin Yoo , Chang Kyu Choi , Jae-Joon Han
Abstract: A lightened neural network method and apparatus. The neural network apparatus includes a processor configured to generate a neural network with a plurality of layers including plural nodes by applying lightened weighted connections between neighboring nodes in neighboring layers of the neural network to interpret input data applied to the neural network, wherein lightened weighted connections of at least one of the plurality of layers includes weighted connections that have values equal to zero for respective non-zero values whose absolute values are less than an absolute value of a non-zero value. The lightened weighted connections also include weighted connections that have values whose absolute values are no greater than an absolute value of another non-zero value, the lightened weighted connections being lightened weighted connections of trained final weighted connections of a trained neural network whose absolute maximum values are greater than the absolute value of the other non-zero value.
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