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    FACIAL VERIFICATION METHOD AND APPARATUS
    5.
    发明公开
    FACIAL VERIFICATION METHOD AND APPARATUS 审中-公开

    公开(公告)号：US20240161539A1

    公开(公告)日：2024-05-16

    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

    CPC classification number: G06V40/166 ,  G06V40/171 ,  G06V40/172

    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.

    ELECTRONIC DEVICE AND METHOD WITH MACHINE LEARNING TRAINING
    7.
    发明申请
    ELECTRONIC DEVICE AND METHOD WITH MACHINE LEARNING TRAINING 有权

    公开(公告)号：US20230134508A1

    公开(公告)日：2023-05-04

    申请号：US17978672

    申请日：2022-11-01

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Minsu KO ,  Sungjoo SUH ,  Huijin LEE ,  Eunju CHA

    IPC: G06V10/774 ,  G06V10/77 ,  G06T7/00 ,  G06V10/82

    Abstract: Training of a machine learning model is included. An electronic device includes a memory storing a machine learning model including a discriminator model, and a processor configured to extract, from a training image, a first image patch and a second image patch at least partially overlapping the first image patch, extract, from the first image patch, a first feature map based on a layer of the discriminator model, extract, from the second image patch, a second feature map based on the layer, extract a first partial feature map from a projected map that is projected based on the first feature map, and train the discriminator model based on a first objective function value generated based on a second partial feature map and the first partial feature map, wherein the second partial feature map corresponds to a part of the extracted second feature map.

    USER AUTHENTICATION METHOD AND APPARATUS WITH ADAPTIVELY UPDATED ENROLLMENT DATABASE (DB)
    9.
    发明申请
    USER AUTHENTICATION METHOD AND APPARATUS WITH ADAPTIVELY UPDATED ENROLLMENT DATABASE (DB) 有权

    公开(公告)号：US20210042404A1

    公开(公告)日：2021-02-11

    申请号：US17083618

    申请日：2020-10-29

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Minsu KO ,  Seungju HAN ,  JaeJoon HAN ,  Deoksang KIM ,  Chang Kyu CHOI

    IPC: G06F21/32 ,  G06F16/583

    Abstract: A method and apparatus with an adaptively updated enrollment database (DB) are provided. A method with an adaptively updated enrollment database (DB) includes extracting an input feature vector from an input image, determining whether the input feature vector is included in a changeable enrollment range, with the changeable enrollment range being determined based on a threshold distance from each of plural enrolled feature vectors in the enrollment DB, and with the enrolled feature vectors corresponding to enrolled images, determining whether to enroll the input feature vector in the enrollment DB in response to the input feature vector being determined as being included in the changeable enrollment range, and in response to a result of the determining of whether to enroll the input feature vector being to enroll the input feature vector, selectively enrolling the input feature vector in the enrollment DB.

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