A method for automatically generating hyper-realistic 3D facial models based on machine learning
An automatic generation and machine learning technology, applied in the field of computer vision, can solve the problem of high cost of 3D face modeling, and achieve the effect of simplifying the generation steps and cost
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[0041] Such as figure 1 As shown, the method for automatically generating a super-realistic 3D facial model based on machine learning comprises the following steps:
[0042] S1, using the 3DMM three-dimensional deformation model to fit the 2D face image into a 3D face model;
[0043] S2, using a deep learning neural network to generate a UV map;
[0044] S3. Applying the UV map to the 3D face model to generate a super-realistic 3D face model.
[0045] Such as figure 2 As shown, using the 3DMM three-dimensional deformation model to fit the 2D face image into a 3D face model, including the following steps:
[0046] S101. The linear expression for constructing a 3D face model is:
[0047]
[0048] in, represents the average face model, Represents the face shape part, Represents the facial expression part, Indicates the face shape factor, Indicates the facial expression coefficient;
[0049] S102, obtain a 2D face picture, adopt the dlib library to detect and ob...
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