Patent ID: 11907848
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The method according to claim 4, wherein the target loss function further comprises a loss function corresponding to the 2D model and a second loss function corresponding to the 3D model; the 2D key point parameters comprise a part affinity field (PAF) parameter of the human body key points and a heatmap of the human body key points, and the 3D pose parameters comprise a shape parameter and a pose parameter of a human body; and
the constructing a target loss function based on the 2D key point parameters and the 3D pose parameters comprises:
constructing the loss function corresponding to the 2D model based on a difference between a PAF parameter outputted by the 2D model and the PAF parameter of the human body key points in the sample image and a difference between a heatmap outputted by the 2D model and the heatmap of the corresponding human body key points in the sample image; and
constructing the second loss function corresponding to the 3D model based on a difference between a shape parameter outputted by the 3D model and the shape parameter of the corresponding human body in the sample image and a difference between a pose parameter outputted by the 3D model and the pose parameter of the corresponding human body in the sample image.