Machine learning-based method for calibrating a camera with respect to a scene
US12387377B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 3, 2024 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Apr 3, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a machine learning-based method for calibrating a camera with respect to a scene, comprising: setting up, in the scene, light sources including: a first group of light sources arranged in a non-linear manner on a first plane and a second group of light sources arranged in a non-linear manner on a second plane orthogonal to the first plane; labelling each light source with a serial number; determining 3D global coordinates of each light source in the scene; configuring the light sources to luminate sequentially; configuring the camera to capture a video of the scene when the light sources sequentially luminate; extracting 2D pixel coordinates of each light source from the video using object detection machine-learning model; matching 3D global coordinates for each light source with respective 2D pixel coordinates to construct a projective relation; and obtaining a projection matrix of the camera from the projective relations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.