Invention Grant
- Patent Title: Neural network architecture for face tracking
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Application No.: US17390440Application Date: 2021-07-30
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Publication No.: US11803996B2Publication Date: 2023-10-31
- Inventor: Wanchun Ma , Shuo Cheng , Chao Wang , Michael Leong Hou Tay , Linjie Luo
- Applicant: Lemon Inc.
- Applicant Address: KY Grand Cayman
- Assignee: LEMON INC.
- Current Assignee: LEMON INC.
- Current Assignee Address: KY Grand Cayman
- Agency: BakerHostetler
- Main IPC: G06T13/40
- IPC: G06T13/40 ; G06N3/08 ; G06V40/16

Abstract:
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.
Public/Granted literature
- US20230036903A1 NEURAL NETWORK ARCHITECTURE FOR FACE TRACKING Public/Granted day:2023-02-02
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