Systems and methods for generating defocus blur effects
US10664953B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 19, 2018 |
| Grant date | May 26, 2020 |
| Priority date | — |
| Expiry date | Sep 3, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a system may access a training sample from a training dataset. The training sample may include a training image of a scene and a corresponding depth map of the scene. The system may generate a plurality of decomposition images by processing the training image and the corresponding depth map using a machine-learning model. The system may generate a focal stack based on the plurality of decomposition images and update the machine-learning model based on a comparison between the generated focal stack and a target focal stack associated with the training sample. The updated machine-learning model is configured to generate decomposition images with defocus-blur effect based on input images and corresponding depth maps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.