- 专利标题: Neural network architecture for face tracking
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申请号: US17390440申请日: 2021-07-30
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公开(公告)号: US11803996B2公开(公告)日: 2023-10-31
- 发明人: Wanchun Ma , Shuo Cheng , Chao Wang , Michael Leong Hou Tay , Linjie Luo
- 申请人: Lemon Inc.
- 申请人地址: KY Grand Cayman
- 专利权人: LEMON INC.
- 当前专利权人: LEMON INC.
- 当前专利权人地址: KY Grand Cayman
- 代理机构: BakerHostetler
- 主分类号: G06T13/40
- IPC分类号: G06T13/40 ; G06N3/08 ; G06V40/16
摘要:
Techniques for face tracking 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.
公开/授权文献
- US20230036903A1 NEURAL NETWORK ARCHITECTURE FOR FACE TRACKING 公开/授权日:2023-02-02
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