Method and apparatus for gaze estimation

    公开(公告)号:US11514602B2

    公开(公告)日:2022-11-29

    申请号:US16722304

    申请日:2019-12-20

    IPC分类号: G06T7/73 G06K9/62 G06V40/16

    摘要: A gaze estimation method includes receiving, by a processor, input data including a current image and a previous image each including a face of a user, determining, by the processor, a gaze mode indicating a relative movement between the user and a camera that captured the current image and the previous image based on the input data, and estimating, by the processor, a gaze of the user based on the determined gaze mode, wherein the determined gaze mode is one of a plurality of gaze modes comprising a stationary mode and a motion mode.

    Method and apparatus with image fusion

    公开(公告)号:US11449971B2

    公开(公告)日:2022-09-20

    申请号:US16223382

    申请日:2018-12-18

    摘要: Disclosed is an image fusion method and apparatus. The fusion method includes detecting first feature points of an object in a first image frame from the first image frame; transforming the first image frame based on the detected first feature points and predefined reference points to generate a transformed first image frame; detecting second feature points of the object in a second image frame from the second image frame; transforming the second image frame based on the detected second feature points and the predefined reference points to generate a transformed second image frame; and generating a combined image by combining the transformed first image frame and the transformed second image frame.

    Face recognition method and apparatus

    公开(公告)号:US11386701B2

    公开(公告)日:2022-07-12

    申请号:US16881436

    申请日:2020-05-22

    摘要: 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.

    Method and apparatus for extracting feature from input image

    公开(公告)号:US10817704B2

    公开(公告)日:2020-10-27

    申请号:US16234720

    申请日:2018-12-28

    IPC分类号: G06K9/00

    摘要: At least one example embodiment discloses a method of extracting a feature from an input image. The method may include detecting landmarks from the input image, detecting physical characteristics between the landmarks based on the landmarks, determining a target area of the input image from which at least one feature is to be extracted and an order of extracting the feature from the target area based on the physical characteristics and extracting the feature based on the determining.