Image-enhanced depth sensing using machine learning
US11682127B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 11, 2020 |
| Grant date | Jun 20, 2023 |
| Priority date | — |
| Expiry date | Sep 11, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N2013/0081
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for training and using neural networks for computing depth maps. One method for training the neural network includes providing an image input to the neural network. The image input may include a camera image of a training scene. The method may also include providing a depth input to the neural network. The depth input may be based on a high-density depth map of the training scene and a sampling mask. The method may further include generating, using the neural network, a computed depth map of the training scene based on the image input and the depth input. The method may further include modifying the neural network based on an error between the computed depth map and the high-density depth map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.