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公开(公告)号:US20220366902A1
公开(公告)日:2022-11-17
申请号:US17826439
申请日:2022-05-27
Applicant: Samsung Electronics Co., Ltd.
Inventor: Sung-Jae CHO , Kyuhong KIM , Jaejoon HAN
Abstract: A speaker recognition method and apparatus receives a first voice signal of a speaker, generates a second voice signal by enhancing the first voice signal through speech enhancement, generates a multi-channel voice signal by associating the first voice signal with the second voice signal, and recognizes the speaker based on the multi-channel voice signal.
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公开(公告)号:US20220319238A1
公开(公告)日:2022-10-06
申请号:US17670028
申请日:2022-02-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jiwhan KIM , Kyuhong KIM , Sungun PARK , Jaejoon HAN
Abstract: A method and apparatus with spoofing consideration is provided. The method includes implementing convolution block(s) of a machine learning model that determines whether biometric information in an input image is spoofed, including generating a feature map including channels for an input feature map for the input image using convolution layers of a convolution block of the convolution block(s), in response to a total number of input channels of the convolution block and a total number of output channels of the convolution block being different, matching the total number of input channels of the convolution block and the total number of output channels of the convolution block by adding a zero-padding channel to the input feature map using a skip connection structure, and generating output data for determining whether the biometric information is spoofed, dependent on the generated feature map and a result of the skip connection structure.
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公开(公告)号:US20220301342A1
公开(公告)日:2022-09-22
申请号:US17695241
申请日:2022-03-15
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hui LI , Jiguang XUE , Jaejoon HAN , Seon Min RHEE , Seungju HAN
Abstract: A method with face recognition includes: determining a first global feature of a first face image and a first global feature of a second face image based on a local feature of the first face image and a local feature of the second face image, respectively; determining a final global feature of the first face image based on the first global feature of the first face image and a second global feature of the first face image; determining a final global feature of the second face image based on the first global feature and a second global feature of the second face image; and recognizing the first face image and the second face image based on the final global feature of the first face image and the final global feature of the second face image, wherein the second global feature of the first face image is determined based on the local feature of the first face image, and the second global feature of the second face image is determined based on the local feature of the second face image.
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公开(公告)号:US20220180531A1
公开(公告)日:2022-06-09
申请号:US17541753
申请日:2021-12-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jingtao XU , Yiwei CHEN , Feng QIU , Byung In YOO , Changbeom PARK , Hyunjeong LEE , Jaejoon HAN , Qiang WANG , Jiaqian YU
Abstract: A method with object tracking includes: determining a first target tracking state by tracking a target from a first image frame with a first field of view (FoV); determining a second FoV based on the first FoV and the first target tracking state; and generating a second target tracking result by tracking a target from a second image frame with the second FoV.
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公开(公告)号:US20210295534A1
公开(公告)日:2021-09-23
申请号:US17027756
申请日:2020-09-22
Applicant: Samsung Electronics Co., Ltd.
Inventor: Sung Kwang CHO , Changbeom PARK , Byung In YOO , Hyunjeong LEE , Jaejoon HAN
Abstract: Disclosed are target tracking methods and apparatuses. The target tracking apparatus performs target tracking on an input image obtained in a first time period within a single time frame, using a light neural network in a second time period of the single time frame. The target tracking apparatus may perform target tracking on input images generated within the same time frame.
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公开(公告)号:US20210201447A1
公开(公告)日:2021-07-01
申请号:US17019657
申请日:2020-09-14
Applicant: Samsung Electronics Co., Ltd.
Inventor: Sangil JUNG , Dongwook LEE , Jinwoo SON , Changyong SON , Jaehyoung YOO , Seohyung LEE , Changin CHOI , Jaejoon HAN
Abstract: A system includes: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter; and an output interface configured to output the quantized image.
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27.
公开(公告)号:US20210192187A1
公开(公告)日:2021-06-24
申请号:US16875368
申请日:2020-05-15
Applicant: Samsung Electronics Co., Ltd.
Inventor: Heewon KIM , Seon Min RHEE , Jihye KIM , Ju Hwan SONG , Jaejoon HAN
Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.
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公开(公告)号:US20210181306A1
公开(公告)日:2021-06-17
申请号:US17019672
申请日:2020-09-14
Applicant: Samsung Electronics Co., Ltd.
Inventor: Insoo KIM , Seungju HAN , Jaejoon HAN
Abstract: A processor-implemented radar data recognition method includes: generating a plurality of pieces of input data, with respectively different dimension configurations, based on radar data of an object; and outputting a recognition result of the object based on the generated plurality of pieces of input data using a recognition model.
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公开(公告)号:US20210089755A1
公开(公告)日:2021-03-25
申请号:US17111912
申请日:2020-12-04
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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公开(公告)号:US20200285837A1
公开(公告)日:2020-09-10
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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