Patent ID: 11954779
Assignee: DIGITAL DOMAIN ENTERPRISES GROUP LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. A neural network training method, comprising: applying an expression parameter set to a 3D role model, by a 3D engine, so that the 3D role model presents a facial expression corresponding to an expression parameter set;
rendering the 3D role model to obtain a virtual expression image corresponding to the expression parameter set, the virtual expression image presenting the facial expression of the 3D role model;
applying a plurality of real facial images to the virtual expression image corresponding to the facial expression respectively to generate a plurality of real expression images having the same facial expression as the virtual expression image;
training a neural network according to the expression parameter set, which corresponds to the facial expression of the 3D role model, and the real expression images having the same facial expression as the virtual expression image,
inputting a target facial image to the trained tracking neural network to obtain a predicted expression parameter set; and
applying the predicted expression parameter set to another 3D role model, by the 3D engine, so that the another 3D role model presents an expression similar to the target facial image.