Method and apparatus for training pose recognition model, and method and apparatus for image recognition
US11907848B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 25, 2021 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Sep 2, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This application provides a method for training a pose recognition model performed at a computer device. The method includes: inputting a sample image labeled with human body key points into a feature map model included in a pose recognition model, to output a feature map of the sample image; inputting the feature map into a two-dimensional (2D) model included in the pose recognition model, to output 2D key point parameters used for representing a 2D human body pose; input a target human body feature map cropped from the feature map and the 2D key point parameter into a three-dimensional (3D) model included in the pose recognition model, to output 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.