Electronic device for seamlessly displaying images, and operating method therefor

    公开(公告)号:US12118262B2

    公开(公告)日:2024-10-15

    申请号:US17703347

    申请日:2022-03-24

    CPC classification number: G06F3/1423 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.

    3D face modeling methods and apparatuses

    公开(公告)号:US10482656B2

    公开(公告)日:2019-11-19

    申请号:US15344903

    申请日:2016-11-07

    Abstract: A three-dimensional (3D) face modeling method and apparatus is disclosed. The 3D face modeling apparatus may generate a personalized 3D face model using a two-dimensional (2D) input image and a generic 3D face model, obtain a depth image and a texture image using the generated personalized 3D face model, determine a patch region of each of the depth image and the texture image, and adjust a shape of the personalized 3D face model based on a matching relationship between the patch region of the depth image and the patch region of the texture image.

    Biometric authentication method and apparatus

    公开(公告)号:US10289821B2

    公开(公告)日:2019-05-14

    申请号:US15216002

    申请日:2016-07-21

    Abstract: A biometric authentication method includes determining a first similarity between first biometric data and first registration data; determining a second similarity between second biometric data and second registration data; performing authentication based on the first similarity and the second similarity; and updating the first registration data based on the first biometric data in response to the first similarity being greater than an authentication reference value corresponding to the first similarity and the second similarity being greater than an update reference value corresponding to the second similarity.

    Method and apparatus for registering face, and method and apparatus for recognizing face

    公开(公告)号:US10268875B2

    公开(公告)日:2019-04-23

    申请号:US14918783

    申请日:2015-10-21

    Abstract: A method and an apparatus for registering a face, and a method and an apparatus for recognizing a face are disclosed, in which a face registering apparatus may change a stored three-dimensional (3D) facial model to an individualized 3D facial model based on facial landmarks extracted from two-dimensional (2D) face images, match the individualized 3D facial model to a current 2D face image of the 2D face images, and extract an image feature of the current 2D face image from regions in the current 2D face image to which 3D feature points of the individualized 3D facial model are projected, and a face recognizing apparatus may perform facial recognition based on image features of the 2D face images extracted by the face registering apparatus.

    Face recognition method and apparatus

    公开(公告)号:US10733422B2

    公开(公告)日:2020-08-04

    申请号:US16430811

    申请日:2019-06-04

    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.

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