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    METHOD AND APPARATUS WITH FACIAL IMAGE GENERATING
    1.
    发明公开
    METHOD AND APPARATUS WITH FACIAL IMAGE GENERATING 审中-公开

    公开(公告)号：EP3958175A1

    公开(公告)日：2022-02-23

    申请号：EP21178039.0

    申请日：2021-06-07

    Applicant: Samsung Electronics Co., Ltd.

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

    IPC: G06K9/46 ,  G06K9/62 ,  G06K9/00 ,  G06T11/00

    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 LIVENESS DETECTION
    2.
    发明公开
    METHOD AND APPARATUS WITH LIVENESS DETECTION 审中-公开

    公开(公告)号：EP3958170A1

    公开(公告)日：2022-02-23

    申请号：EP21187428.4

    申请日：2021-07-23

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： LEE, Solae ,  KWAK, Youngjun ,  PARK, Sungheon ,  YOO, Byung In ,  LEE, Yong-il ,  LEE, Hana ,  CHOI, Jiho ,  HAN, Jaejoon

    IPC: G06K9/00 ,  G06T5/00

    Abstract: A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.

    METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING
    3.
    发明公开
    METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING 审中-公开

    公开(公告)号：EP3798925A1

    公开(公告)日：2021-03-31

    申请号：EP20192864.5

    申请日：2020-08-26

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： LEE, Dohwan ,  KIM, Kyuhong ,  HAN, Jaejoon

    IPC: G06N3/04 ,  G06N3/08 ,  G06N3/063

    Abstract: An on-device training-based user recognition method includes performing on-device training on a feature extractor based on reference data corresponding to generalized users and user data, determining a registration feature vector based on an output from the feature extractor in response to the input of the user data, determining a test feature vector based on an output from the feature extractor in response to an input of test data, and performing user recognition on a test user based on a result of comparing the registration feature vector to the test feature vector.

    CONVOLUTIONAL NEURAL NETWORK PROCESSING METHOD AND APPARATUS
    5.
    发明公开
    CONVOLUTIONAL NEURAL NETWORK PROCESSING METHOD AND APPARATUS 审中-公开
    卷积神经网络处理方法与装置

    公开(公告)号：EP3319015A1

    公开(公告)日：2018-05-09

    申请号：EP17197450.4

    申请日：2017-10-20

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： SON, Jinwoo ,  SON, Changyong ,  CHOI, Chang Kyu ,  HAN, Jaejoon

    IPC: G06N3/04 ,  G06N3/063

    CPC classification number: G06K9/00979 ,  G06K9/6256 ,  G06N3/04 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/08

    Abstract: A convolutional neural network (CNN) processing method and apparatus is disclosed. The apparatus may select, based on at least one of a characteristic of a kernel of a convolution layer or a characteristic of an input of the convolution layer, one operation mode from a first operation mode reusing the kernel and a second operation mode reusing the input, and perform a convolution operation based on the selected operation mode.

    Abstract translation: 公开了一种卷积神经网络（CNN）处理方法和装置。 该设备可以基于卷积层的内核的特性或卷积层的输入的特性中的至少一个来选择来自重用内核的第一操作模式和重用该输入的第二操作模式的一个操作模式 并基于所选择的操作模式执行卷积操作。

    METHOD AND APPARATUS FOR GENERATING PERSONALIZED 3D FACE MODEL
    7.
    发明公开
    METHOD AND APPARATUS FOR GENERATING PERSONALIZED 3D FACE MODEL 审中-公开
    VERFAHREN UND VORRICHTUNG ZUR ERZEUGUNG PERSONALISIERTER 3D-GESICHTSMODELLE

    公开(公告)号：EP3026636A1

    公开(公告)日：2016-06-01

    申请号：EP15195543.2

    申请日：2015-11-20

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： KIM, Jungbae ,  HWANG, Youngkyoo ,  RHEE, Seon Min ,  HAN, Jaejoon

    IPC: G06T15/04 ,  G06K9/00 ,  G06T7/00 ,  G06T17/00

    CPC classification number: G06T17/20 ,  G06K9/00208 ,  G06K9/00268 ,  G06K9/00281 ,  G06T15/04 ,  G06T17/00

    Abstract: A method of generating a three-dimensional (3D) face model includes extracting feature points of a face from input images comprising a first face image and a second face image; deforming a generic 3D face model to a personalized 3D face model based on the feature points; projecting the personalized 3D face model to each of the first face image and the second face image; and refining the personalized 3D face model based on a difference in texture patterns between the first face image to which the personalized 3D face model is projected and the second face image to which the personalized 3D face model is projected.

    Abstract translation: 一种生成三维（3D）面部模型的方法包括从包括第一面部图像和第二面部图像的输入图像中提取面部的特征点; 基于特征点将通用3D人脸模型变形为个性化3D脸部模型; 将所述个性化3D脸部模型投影到所述第一面部图像和所述第二面部图像中的每一个; 以及基于投射个性化3D脸部模型的第一面部图像与投影个性化3D脸部模型的第二面部图像之间的纹理图案的差异来细化个性化3D脸部模型。

    METHOD AND APPARATUS WITH BIOMETRIC INFORMATION SPOOF DETECTION
    9.
    发明公开
    METHOD AND APPARATUS WITH BIOMETRIC INFORMATION SPOOF DETECTION 审中-公开

    公开(公告)号：EP4068226A1

    公开(公告)日：2022-10-05

    申请号：EP21215118.7

    申请日：2021-12-16

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： CHO, Sung-Jae ,  KIM, Kyuhong ,  PARK, Sungun ,  KIM, Jiwhan ,  HAN, Jaejoon

    IPC: G06V40/40 ,  G06V10/82

    Abstract: A method with biometric information spoof detection includes extracting an embedding vector from an intermediate layer of a neural network configured to detect whether biometric information of a user is spoofed from an image including the biometric information; detecting first information regarding whether the biometric information is spoofed, based on the embedding vector; and detecting second information regarding whether the biometric information is spoofed based on whether the first information is detected, using an output vector output from an output layer of the neural network.

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