Image augmentation for analytics
    1.
    发明授权

    公开(公告)号:US11386633B2

    公开(公告)日:2022-07-12

    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.

    Facial expression recognition
    4.
    发明授权

    公开(公告)号:US11756334B2

    公开(公告)日:2023-09-12

    申请号:US17185811

    申请日:2021-02-25

    CPC classification number: G06V40/174 G06F18/214 G06N3/08 G06V40/171

    Abstract: Systems and techniques are provided for facial expression recognition. In some examples, a system receives an image frame corresponding to a face of a person. The system also determines, based on a three-dimensional model of the face, landmark feature information associated with landmark features of the face. The system then inputs, to at least one layer of a neural network trained for facial expression recognition, the image frame and the landmark feature information. The system further determines, using the neural network, a facial expression associated with the face.

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