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    METHOD AND APPARATUS WITH LIVENESS DETECTION
    1.
    发明申请
    METHOD AND APPARATUS WITH LIVENESS DETECTION 审中-公开

    公开(公告)号：US20200349372A1

    公开(公告)日：2020-11-05

    申请号：US16807565

    申请日：2020-03-03

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hana LEE ,  Solae LEE ,  Minsu KO ,  Jiwon BAEK ,  Seungju HAN

    IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08

    Abstract: A liveness detection method and apparatus, and a facial verification method and apparatus are disclosed. The liveness detection method includes detecting a face region in an input image, measuring characteristic information of the face region, adjusting the measured characteristic information in response to the characteristic information not satisfying a condition, and performing a liveness detection on the face region with the adjusted characteristic information upon the measured characteristic information not satisfying the condition.

    METHOD AND DEVICE WITH OBJECT CLASSIFICATION
    2.
    发明公开
    METHOD AND DEVICE WITH OBJECT CLASSIFICATION 审中-公开

    公开(公告)号：US20240161458A1

    公开(公告)日：2024-05-16

    申请号：US18193712

    申请日：2023-03-31

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Kikyung KIM ,  Jiwon BAEK ,  Chanho AHN ,  Seungju HAN

    IPC: G06V10/764 ,  G06V10/70

    CPC classification number: G06V10/764 ,  G06V10/87

    Abstract: Disclosed is a method that includes generating a prediction consistency value that indicates a consistency of prediction of an object in an input image with respect to class prediction values for the object in an input image from classification models to which the input image is input, and identifying a class of the object. Identifying the class of the object includes, in response to a class type being determined, based on the prediction consistency value, of the object being determined to correspond to a majority class, identifying a class of the object based on a corresponding class prediction value output for the object from a majority class prediction model, and in response to the class type of the object being determined to correspond to a minority class, identifying the class of the object based on another corresponding class prediction value output for the object from a minority class prediction model.

    METHOD AND APPARATUS WITH AUTHENTICATION AND NEURAL NETWORK TRAINING
    5.
    发明申请
    METHOD AND APPARATUS WITH AUTHENTICATION AND NEURAL NETWORK TRAINING 有权

    公开(公告)号：US20210166071A1

    公开(公告)日：2021-06-03

    申请号：US16913205

    申请日：2020-06-26

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seong-Jin PARK ,  Insoo KIM ,  Seungju HAN ,  Jiwon BAEK ,  Ju Hwan SONG ,  Jaejoon HAN

    IPC: G06K9/62 ,  G06N3/04 ,  G06N3/08

    Abstract: A processor-implemented neural network method includes: determining, using a neural network, a feature vector based on a training image of a first class among a plurality of classes; determining, using the neural network, plural feature angles between the feature vector and class vectors of other classes among the plurality of classes; determining a margin based on a class angle between a first class vector of the first class and a second class vector of a second class, among the class vectors, and a feature angle between the feature vector and the first class vector; determining a loss value using a loss function including an angle with the margin applied to the feature angle and the plural feature angles; and training the neural network by updating, based on the loss value, either one or both of one or more parameters of the neural network and one or more of the class vectors.

    METHOD AND APPARATUS WITH IMAGE PROCESSING
    6.
    发明申请
    METHOD AND APPARATUS WITH IMAGE PROCESSING 有权

    公开(公告)号：US20250005961A1

    公开(公告)日：2025-01-02

    申请号：US18756803

    申请日：2024-06-27

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jingzhi LI ,  Kai WANG ,  Zidong GUO ,  Jiwon BAEK ,  Seungju HAN

    IPC: G06V40/16 ,  G06T3/40 ,  G06T7/50

    Abstract: A processor-implemented method with image processing includes detecting facial keypoints from an input face image determining a face area of the input face image and a facial feature area of the input face image based on the facial keypoints, and determining the input face image to be an invalid face image in response to the facial feature area satisfying a first preset condition, wherein the first preset condition comprises either one or both of a shape condition regarding a shape of the facial feature area, and a position condition regarding a relationship between a position of the facial feature area and a position of the face area.

    METHOD AND APPARATUS WITH MACHINE LEARNING
    7.
    发明公开
    METHOD AND APPARATUS WITH MACHINE LEARNING 审中-公开

    公开(公告)号：US20240144086A1

    公开(公告)日：2024-05-02

    申请号：US18314378

    申请日：2023-05-09

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Chanho AHN ,  Kikyung KIM ,  Jiwon BAEK ,  Seungju HAN

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: A processor-implemented method includes: determining a prediction loss based on class prediction data obtained by applying a first machine learning model to a training input and a class label with which the training input is labeled; determining a confidence of the class label based on the determined prediction loss; and training a second machine learning model using the training input based on the determined confidence.

    METHOD AND APPARATUS WITH FACIAL IMAGE GENERATING
    8.
    发明申请
    METHOD AND APPARATUS WITH FACIAL IMAGE GENERATING 有权

    公开(公告)号：US20220058377A1

    公开(公告)日：2022-02-24

    申请号：US17208048

    申请日：2021-03-22

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jiwon BAEK ,  Seong-Jin PARK ,  Seungju HAN ,  Insoo KIM ,  Jaejoon HAN

    IPC: G06K9/00 ,  G06T9/00 ,  G06K9/62 ,  G06T7/73 ,  G06T3/60 ,  G06T3/40 ,  G06N3/04 ,  G06N3/08

    Abstract: A processor-implemented facial image generating method includes: determining a first feature vector associated with a pose and a second feature vector associated with an identity by encoding an input image including a face; determining a flipped first feature vector by flipping the first feature vector with respect to an axis in a corresponding space; determining an assistant feature vector based on the flipped first feature vector and rotation information corresponding to the input image; determining a final feature vector based on the first feature vector and the assistant feature vector; and generating an output image including a rotated face by decoding the final feature vector and the second feature vector based on the rotation information.

    METHOD AND APPARATUS WITH ACCESS AUTHORITY MANAGEMENT
    9.
    发明申请
    METHOD AND APPARATUS WITH ACCESS AUTHORITY MANAGEMENT 有权

    公开(公告)号：US20250045371A1

    公开(公告)日：2025-02-06

    申请号：US18920277

    申请日：2024-10-18

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jiwon BAEK ,  Seungju HAN ,  Kikyung KIM ,  Insoo KIM ,  Jaejoon HAN

    IPC: G06F21/32 ,  G06V10/74 ,  G06V10/77 ,  G06V10/82 ,  G06V40/16 ,  G06V40/40

    Abstract: A method with access authority management includes: receiving an input image comprising a region of at least one portion of a body of a user; determining whether the user corresponds to multiple users or a single user using the region of the at least one portion of the body; performing a verification for the user based on a face region in the input image, in response to the determination that the user is the single user; determining whether the input image is a real image or a spoofed image based on whether the verification is successful; and allowing an access authority to a system to the user, in response to the determination that the input image is the real image.

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