Extrapolating lighting conditions from a single digital image
US10609286B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 13, 2017 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | Jan 12, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N23/64
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure is directed toward systems and methods for predicting lighting conditions. In particular, the systems and methods described herein analyze a single low-dynamic range digital image to estimate a set of high-dynamic range lighting conditions associated with the single low-dynamic range lighting digital image. Additionally, the systems and methods described herein train a convolutional neural network to extrapolate lighting conditions from a digital image. The systems and methods also augment low-dynamic range information from the single low-dynamic range digital image by using a sky model algorithm to predict high-dynamic range lighting conditions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.