IMAGE AUGMENTATION FOR ANALYTICS
    2.
    发明申请

    公开(公告)号:US20210390789A1

    公开(公告)日:2021-12-16

    申请号:US17109045

    申请日:2020-12-01

    Abstract: Systems and techniques are provided for facial image augmentation. An example method can include obtaining a first image capturing a face. Using the first image, the method can determine, using a prediction model, a UV face position map including a two-dimensional (2D) representation of a three-dimensional (3D) structure of the face. The method can generate, based on the UV face position map, a 3D model of the face. The method can generate an extended 3D model of the face by extending the 3D model to include region(s) beyond a boundary of the 3D model. The region(s) can include a forehead region, a region surrounding at least a portion of the face, and/or other region. The method can generate, based on the extended 3D model, a second image depicting the face in a rotated position relative to a position of the face in the first image.

    SYSTEMS AND METHODS FOR FACIAL ATTRIBUTE MANIPULATION

    公开(公告)号:US20230252687A1

    公开(公告)日:2023-08-10

    申请号:US17668956

    申请日:2022-02-10

    CPC classification number: G06T11/00 G06V10/40 G06N3/08

    Abstract: Systems and techniques are described for image processing. An imaging system receives an identity image and an attribute image. The identity image depicts a first person having an identity. The attribute image depicts a second person having an attribute, such as a facial feature, an accessory worn by the second person, and/or an expression. The imaging system uses trained machine learning model(s) to generate a combined image based on the identity image and the attribute image. The combined image depicts a virtual person having both the identity of the first person and the attribute of the second person. The imaging system outputs the combined image, for instance by displaying the combined image or sending the combined image to a receiving device. In some examples, the imaging system updates the trained machine learning model(s) based on the combined image.

    TECHNOLOGIES FOR TRANSFERRING VISUAL ATTRIBUTES TO IMAGES

    公开(公告)号:US20210019541A1

    公开(公告)日:2021-01-21

    申请号:US16516134

    申请日:2019-07-18

    Abstract: Systems, methods, and computer-readable media are provided media for transferring visual attributes to images. In some examples, a system can obtain a first image associated with a user; generate a second image including image data from the first image modified to add a first visual attribute transferred from one or more images or remove a second visual attribute in the image data; compare a first set of features from the first image with a second set of features from the second image; determine, based on a comparison result, whether the first image and the second image match at least partially; and update a library of user verification images to include the second image when the first image and the second image match at least partially.

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