Patent ID: 11922707
Assignee: BIGO TECHNOLOGY PTE. LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. The method according to claim 5, wherein iteratively optimizing the initial eigenvalue matrix and the initial projection parameter matrix by using a stochastic gradient descent method based on the difference value, acquiring the eigenvalue matrix and the projection parameter matrix, when the difference value converges, and taking the eigenvalue matrix and the projection parameter matrix as a target eigenvalue matrix and a target projection parameter matrix comprises:
randomly selecting K feature points from the training face image and the projected face image, for first N rounds of iterative optimization;
calculating a difference value between the projected face image and the training face image based on the K feature points;
iteratively optimizing part of eigenvalues in the initial eigenvalue matrix and the initial projection parameter matrix using the stochastic gradient descent method based on the difference value; and
after the first N rounds of iterative optimization, optimizing all the eigenvalues and the initial projection parameter matrix by using the stochastic gradient descent method, acquiring the eigenvalue matrix and the projection parameter matrix, when the difference value converges, and taking the eigenvalue matrix and the projection parameter matrix as the target eigenvalue matrix and the target projection parameter matrix.