Facial verification method and apparatus

    公开(公告)号:US10579865B2

    公开(公告)日:2020-03-03

    申请号:US15896253

    申请日:2018-02-14

    Abstract: Disclosed is a facial verification apparatus and method. The facial verification apparatus is configured to detect a face area of a user from an obtained input image, generate a plurality of image patches, differently including respective portions of the detected face area, based on a consideration of an image patch set determination criterion with respect to the detected face area, extract a feature value corresponding to a face of the user based on an image patch set including the generated plurality of image patches, determine whether a facial verification is successful based on the extracted feature value, and indicate a result of the determination of whether the facial verification is successful.

    Method and apparatus to recognize object based on attribute of object and train

    公开(公告)号:US10558912B2

    公开(公告)日:2020-02-11

    申请号:US15595997

    申请日:2017-05-16

    Abstract: Provided is a method and apparatus to recognizing an object based on an attribute of the object and training that may calculate object age information from input data using an attribute layer trained with respect to an attribute of an object and a classification layer trained with respect to a classification of the object. The method to recognize the object includes extracting feature data from input data including an object using an object model, determining attribute classification information related to the input data from the feature data using a classification layer, determining attribute age information related to an attribute from the feature data using an attribute layer, and estimating object age information based on the attribute classification information and the attribute age information.

    Face recognition method and apparatus

    公开(公告)号:US10331941B2

    公开(公告)日:2019-06-25

    申请号:US15188437

    申请日:2016-06-21

    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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