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    FACE RECOGNITION METHOD AND APPARATUS
    81.
    发明申请
    FACE RECOGNITION METHOD AND APPARATUS 审中-公开

    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

    IPC: G06K9/00 ,  G06K9/62 ,  G06T19/20 ,  G06T15/04

    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.

    CONVOLUTIONAL NEURAL NETWORK (CNN) PROCESSING METHOD AND APPARATUS
    85.
    发明申请
    CONVOLUTIONAL NEURAL NETWORK (CNN) PROCESSING METHOD AND APPARATUS 审中-公开

    公开(公告)号：US20180285715A1

    公开(公告)日：2018-10-04

    申请号：US15836988

    申请日：2017-12-11

    Applicant: Samsung Electronics Co., Ltd.

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

    IPC: G06N3/04 ,  G06N3/08

    Abstract: Disclosed is a convolutional neural network (CNN) processing apparatus and method, the apparatus configured to determine a loading space unit for at least one loading space in an input based on a height or a width for an input feature map of the input and an extent of a dimension of a kernel feature map, load target input elements corresponding to a target loading space, among the at least one loading space, from a memory and store the target input elements in an allocated input buffer having a size corresponding to the loading space unit, and perform a convolution operation between the target input elements stored in the input buffer and at least one kernel element of a kernel.

    LIVENESS TESTING METHODS AND APPARATUSES AND IMAGE PROCESSING METHODS AND APPARATUSES
    90.
    发明申请
    LIVENESS TESTING METHODS AND APPARATUSES AND IMAGE PROCESSING METHODS AND APPARATUSES 审中-公开
    LIVENESS测试方法和设备和图像处理方法和设备

    公开(公告)号：US20160328623A1

    公开(公告)日：2016-11-10

    申请号：US15156847

    申请日：2016-05-17

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Wonjun KIM ,  Sungjoo SUH ,  Jaejoon HAN ,  Wonjun HWANG

    IPC: G06K9/00 ,  G06T7/00

    Abstract: A user recognition method and apparatus, the user recognition method including performing a liveness test by extracting a first feature of a first image acquired by capturing a user, and recognizing the user by extracting a second feature of the first image based on a result of the liveness test, is provided.

    Abstract translation: 一种用户识别方法和装置，所述用户识别方法包括通过提取通过捕获用户获取的第一图像的第一特征来执行活动测试，并且基于所述第一图像的结果提取所述第一图像的第二特征来识别所述用户 提供了活力测试。

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