NEURAL NETWORK ARCHITECTURE FOR FACE TRACKING

    公开(公告)号:US20230036903A1

    公开(公告)日:2023-02-02

    申请号:US17390440

    申请日:2021-07-30

    Applicant: Lemon Inc.

    Abstract: The present disclosure describes techniques for face tracking. The techniques comprise receiving landmark data associated with a plurality of images indicative of at least one facial part. Representative images corresponding to the plurality of images may be generated based on the landmark data. Each representative image may depict a plurality of segments, and each segment may correspond to a region of the at least one facial part. The plurality of images and corresponding representative images may be input into a neural network to train the neural network to predict a feature associated with a subsequently received image comprising a face. An animation associated with a facial expression may be controlled based on output from the trained neural network.

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