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

Claim 0:
1. A method for training a pose recognition model, applicable to a computer device, the method comprising:
processing, by using a feature map model comprised in a pose recognition model, a sample image labeled with human body key points, to obtain a feature map of the sample image;
processing the feature map of the sample image by using a two-dimensional (2D) model comprised in the pose recognition model, to obtain 2D key point parameters used for representing a 2D human body pose;
processing, by using a three-dimensional (3D) model comprised in the pose recognition model, a target human body feature map cropped from the feature map and the 2D key point parameters, to obtain 3D pose parameters used for representing a 3D human body pose;
constructing a target loss function based on the 2D key point parameters and the 3D pose parameters; and
updating the pose recognition model based on the target loss function.