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公开(公告)号：US20180144185A1
公开(公告)日：2018-05-24
申请号：US15626440
申请日：2017-06-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Byungin YOO , Youngjun KWAK , Youngsung KIM , Seonmin RHEE , Chang Kyu CHOI
CPC classification number: G06K9/00308 , G06K9/00228 , G06K9/00255 , G06K9/00288 , G06K9/00302 , G06K9/6256 , G06K9/66
Abstract: A facial expression recognition method includes actuating a processor to acquire an input image including an object; and identifying a facial expression intensity of the object from the input image based on a facial expression recognition model.
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公开(公告)号：US20180137388A1
公开(公告)日：2018-05-17
申请号：US15795677
申请日：2017-10-27
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngsung KIM , Byungin YOO , Deheng QIAN , Hui ZHANG , Chang Kyu CHOI , He ZHENG , Jae-Joon HAN , Jingtao XU , Tianchu GUO
CPC classification number: G06K9/623 , G06K9/00281 , G06K9/00288 , G06K9/6265 , G06K9/627 , G06K9/6297 , G06K9/66 , G06N3/0454
Abstract: A method to analyze a facial image includes: inputting a facial image to a residual network including residual blocks that are sequentially combined and arranged in a direction from an input to an output; processing the facial image using the residual network; and acquiring an analysis map from an output of an N-th residual block among the residual blocks using a residual deconvolution network, wherein the residual network transfers the output of the N-th residual block to the residual deconvolution network, and N is a natural number that is less than a number of all of the residual blocks, and wherein the residual deconvolution network includes residual deconvolution blocks that are sequentially combined, and the residual deconvolution blocks correspond to respective residual blocks from a first residual block among the residual blocks to the N-th residual block.
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公开(公告)号：US20180032866A1
公开(公告)日：2018-02-01
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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34.发明申请MULTI-MODAL FUSION METHOD FOR USER AUTHENTICATION AND USER AUTHENTICATION METHOD 审中-公开用户认证和用户认证方法的多模式融合方法公开(公告)号：US20170039357A1
公开(公告)日：2017-02-09
申请号：US15097555
申请日：2016-04-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Wonjun HWANG , Wonjun KIM , Sungjoo SUH , Byungin YOO , Changkyu CHOI , Jaejoon HAN
Abstract: A user authentication method includes receiving a first input image including information on a first modality; receiving a second input image including information on a second modality; determining at least one first score by processing the first input image based on at least one first classifier, the at least one first classifier being based on the first modality; determining at least one second score by processing the second input image based on at least one second classifier, the at least one second classifier being based on the second modality; and authenticating a user based on the at least one first score, the at least one second score, a first fusion parameter of the at least one first classifier, and a second fusion parameter of the at least one second classifier.
Abstract translation: 用户认证方法包括接收包括关于第一模态的信息的第一输入图像; 接收包括关于第二模态的信息的第二输入图像; 通过基于至少一个第一分类器处理所述第一输入图像来确定至少一个第一分数，所述至少一个第一分类器基于所述第一模态; 通过基于至少一个第二分类器处理所述第二输入图像来确定至少一个第二分数，所述至少一个第二分类器基于所述第二模态; 以及基于所述至少一个第一分数，所述至少一个第二分数，所述至少一个第一分类器的第一融合参数和所述至少一个第二分类器的第二融合参数来验证用户。
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公开(公告)号：US20160078282A1
公开(公告)日：2016-03-17
申请号：US14812252
申请日：2015-07-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Changkyo LEE , Byungin YOO , Namjoon KIM , Jaejoon HAN
CPC classification number: G06K9/00268 , G06K9/4642 , G06K9/6202 , G06K9/6277 , G06K2009/4666
Abstract: At least one example embodiment discloses an image feature extracting method. The method includes determining a probabilistic model based on pixel values of pixels in a kernel, determining image feature information of a current pixel of the pixels in the kernel and determining whether to change the image feature information of the current pixel based on a random value and a probability value of the current pixel, the probability value being based on the probabilistic model.
Abstract translation: 至少一个示例性实施例公开了一种图像特征提取方法。 该方法包括基于内核中的像素的像素值确定概率模型，确定内核中的像素的当前像素的图像特征信息，并基于随机值确定是否改变当前像素的图像特征信息;以及 当前像素的概率值，概率值基于概率模型。
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Patent Agency Ranking
公开(公告)号：US20230334901A1
公开(公告)日：2023-10-19
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
CPC classification number: G06V40/167 , G06V40/171 , G06V40/45 , G06V40/161 , G06V40/172 , G06V40/174 , G06F18/22 , G06V10/761
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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公开(公告)号：US20210406569A1
公开(公告)日：2021-12-30
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
IPC: G06K9/00
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：US20200027001A1
公开(公告)日：2020-01-23
申请号：US16567365
申请日：2019-09-11
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：US20190286884A1
公开(公告)日：2019-09-19
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：US20190073512A1
公开(公告)日：2019-03-07
申请号：US16181962
申请日：2018-11-06
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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