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    METHOD AND APPARATUS FOR FACIAL RECOGNITION
    12.
    发明申请
    METHOD AND APPARATUS FOR FACIAL RECOGNITION 审中-公开
    方法和装置用于真实识别

    公开(公告)号：US20160070952A1

    公开(公告)日：2016-03-10

    申请号：US14796224

    申请日：2015-07-10

    Applicant: Samsung Electronics Co., Ltd.

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

    IPC: G06K9/00 ,  G06T17/00

    CPC classification number: G06K9/00208 ,  G06K9/00221 ,  G06K9/00268 ,  G06K9/00288 ,  G06T17/00

    Abstract: At least one example embodiment discloses a facial recognition apparatus configured to obtain a two-dimensional (2D) input image including a face region of a user, detect a facial feature point from the 2D input image, adjust a pose of a stored three-dimensional (3D) facial model based on the detected facial feature point, generate a 2D projection image from the adjusted 3D facial model, perform facial recognition based on the face region in the 2D input image and a face region in the 2D projection image, and output a result of the facial recognition.

    Abstract translation: 至少一个示例性实施例公开了一种面部识别装置，被配置为获得包括用户的脸部区域的二维（2D）输入图像，从2D输入图像检测面部特征点，调整存储的三维 （3D）面部模型，基于检测到的面部特征点，从调整后的3D面部模型生成2D投影图像，基于2D输入图像中的面部区域和2D投影图像中的面部区域进行面部识别，并输出 是面部识别的结果。

    ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR PERFORMING CALCULATION USING ARTIFICIAL INTELLIGENCE MODEL
    15.
    发明公开
    ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR PERFORMING CALCULATION USING ARTIFICIAL INTELLIGENCE MODEL 审中-公开

    公开(公告)号：US20240289654A1

    公开(公告)日：2024-08-29

    申请号：US18599852

    申请日：2024-03-08

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jungbae KIM ,  Mooyoung KIM ,  Seungjin KIM ,  Euntaik LEE ,  Jungeun LEE ,  Hyeonsu LEE

    IPC: G06N5/04

    CPC classification number: G06N5/04

    Abstract: An electronic device is provided. The electronic device includes memory storing artificial intelligence models and one or more programs including instructions, and one or more processor, wherein the one or more programs including instructions, when executed by the one or more processors, cause the electronic device to load the artificial intelligence models stored in memory and execute a runtime engine of a framework, identify whether an operation function is supported on a target processor, identify whether a first node for executing an inference on the artificial intelligence models operate without errors based on supporting the operation function on the target processor, repeat the identification until a last node by adding one more nodes in case that the first node operates without errors, form a first group by creating a partition from the first node to an identified N−1st node based on the identification that an error occurred on an Nth node, and form a second group by creating a partition for the Nth node on which the error occurred.

    METHOD AND ELECTRONIC DEVICE FOR DISPLAYING RECOMMENDATION INFORMATION
    16.
    发明公开
    METHOD AND ELECTRONIC DEVICE FOR DISPLAYING RECOMMENDATION INFORMATION 审中-公开

    公开(公告)号：US20240273474A1

    公开(公告)日：2024-08-15

    申请号：US18644988

    申请日：2024-04-24

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Hyeonsu LEE ,  Jungbae KIM ,  Euntaik LEE ,  Jaeho KO ,  Hyesoo KIM ,  Hyeyoung MOON ,  Hyewon PARK ,  Sungchan BAE ,  Seungyong LEE ,  Hyeonseung LEE ,  Yookyung HAM

    IPC: G06Q10/1093

    CPC classification number: G06Q10/1093

    Abstract: According to various embodiments, an electronic device may comprise a display module, a processor, and a memory operatively connected to the display module and the processor. The memory can store instructions that allow, when executed, in response to reception of at least one piece of content, the processor to identify whether an application corresponding to the at least one piece of content is an information-sharing application, extract schedule-related information based on the received at least one piece of content in response to identifying that the application is the information-sharing application, generate at least one piece of recommendation information based on the extracted schedule-related information in response to execution of a schedule-related application, and display the generated at least one piece of recommendation information through the display module. Various other embodiments are possible.

    ELECTRONIC DEVICE FOR SEAMLESSLY DISPLAYING IMAGES, AND OPERATING METHOD THEREFOR
    17.
    发明申请
    ELECTRONIC DEVICE FOR SEAMLESSLY DISPLAYING IMAGES, AND OPERATING METHOD THEREFOR 有权

    公开(公告)号：US20220214850A1

    公开(公告)日：2022-07-07

    申请号：US17703347

    申请日：2022-03-24

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seungjin KIM ,  Sungjun LEE ,  Jungbae KIM ,  Joonyung PARK ,  Jiesoon JEONG ,  Mooyoung KIM

    IPC: G06F3/14 ,  G06T3/40 ,  G06T3/60

    Abstract: An electronic device is provided. The electronic device includes a first display disposed on a first surface of the electronic device, a second display disposed on a second surface of the electronic device and having at least a portion thereof being unviewable to a user according to a folding state of the electronic device, a memory configured to store instructions, and a processor electrically connected to the first display, the second display, and the memory. The processor is configured to execute the instructions to detect a change in the folding state of the electronic device while displaying a first image on one of the first display or the second display, when the change in the folding state is detected, generate a second image to be displayed on the other of the first display or the second display, while generating the second image, store a snapshot image of the first image in the memory and display the snapshot image on the other of the first display or the second display, and when the second image is generated, display the second image on the other of the first display or the second display instead of the snapshot image.

    METHOD AND APPARATUS FOR FACE RECOGNITION
    19.
    发明申请
    METHOD AND APPARATUS FOR FACE RECOGNITION 审中-公开
    用于脸部识别的方法和装置

    公开(公告)号：US20170046563A1

    公开(公告)日：2017-02-16

    申请号：US15189454

    申请日：2016-06-22

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jungbae KIM ,  Ruslan SALAKHUTDINOV ,  Jaejoon HAN ,  Byungin YOO

    IPC: G06K9/00 ,  G06K9/62

    CPC classification number: G06K9/00275 ,  G06K9/00241 ,  G06K9/00288 ,  G06K9/4628 ,  G06K9/4661 ,  G06K9/6262 ,  G06K9/6272

    Abstract: A training method of training an illumination compensation model includes extracting, from a training image, an albedo image of a face area, a surface normal image of the face area, and an illumination feature, the extracting being based on an illumination compensation model; generating an illumination restoration image based on the albedo image, the surface normal image, and the illumination feature; and training the illumination compensation model based on the training image and the illumination restoration image.

    Abstract translation: 训练照明补偿模式的训练方法包括从训练图像中提取面部区域的反照率图像，面部区域的表面法线图像和照明特征，所述提取基于照明补偿模型; 基于反照率图像，表面法线图像和照明特征生成照明恢复图像; 并基于训练图像和照明恢复图像训练照明补偿模型。

    FACE RECOGNITION METHOD AND APPARATUS
    20.
    发明申请
    FACE RECOGNITION METHOD AND APPARATUS 审中-公开
    脸部识别方法和装置

    公开(公告)号：US20160379041A1

    公开(公告)日：2016-12-29

    申请号：US15188437

    申请日：2016-06-21

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seon Min RHEE ,  Jungbae KIM ,  Byungin YOO ,  Jaejoon HAN ,  Seungju HAN

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

    CPC classification number: G06K9/00275 ,  G06K9/00208 ,  G06K9/00248 ,  G06K9/00288 ,  G06K9/6271 ,  G06K9/6296 ,  G06T15/04 ,  G06T19/20 ,  G06T2219/2021

    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.

    Abstract translation: 面部识别，以确定面部与登记面部相关是否可以包括基于面部的二维（2D）输入图像生成个性化三维（3D）面部模型，获取3D形状信息和 基于个性化3D脸部模型的面部的归一化2D输入图像，基于3D形状信息和归一化2D输入图像的像素颜色值生成特征信息，以及将特征信息与与注册面相关联的特征信息进行比较。 特征信息可以包括基于将第一和第二深层神经网络模型应用于归一化2D输入图像和3D形状信息的像素颜色值而生成的第一和第二特征信息。 可以基于基于在2D输入图像中检测到的地标来变换通用3D脸部模型来生成个性化3D脸部模型。

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