2D-to-3D tooth reconstruction, optimization, and positioning frameworks using a differentiable renderer
US11723748B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 2020 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Dec 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided herein are systems and methods for optimizing a 3D model of an individual's teeth. A 3D dental model may be reconstructed from 3D parameters. A differentiable renderer may be used to derive a 2D rendering of the individual's dentition. 2D image(s) of an individual's dentition may be obtained, and features may be extracted from the 2D image(s). Image loss between the 2D rendering and the 2D image(s) can be derived, and back-propagation from the image loss can be used to calculate gradients of the loss to optimize the 3D parameters. A machine learning model can also be trained to predict a 3D dental model from 2D images of an individual's dentition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.