Dynamically estimating lighting parameters for positions within augmented-reality scenes using a neural network
US10692277B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 21, 2019 |
| Grant date | Jun 23, 2020 |
| Priority date | — |
| Expiry date | Mar 21, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2215/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure relates to methods, non-transitory computer readable media, and systems that use a local-lighting-estimation-neural network to estimate lighting parameters for specific positions within a digital scene for augmented reality. For example, based on a request to render a virtual object in a digital scene, a system uses a local-lighting-estimation-neural network to generate location-specific-lighting parameters for a designated position within the digital scene. In certain implementations, the system also renders a modified digital scene comprising the virtual object at the designated position according to the parameters. In some embodiments, the system generates such location-specific-lighting parameters to spatially vary and adapt lighting conditions for different positions within a digital scene. As requests to render a virtual object come in real (or near real) time, the system can quickly generate different location-specific-lighting parameters that accurately reflect lighting conditions at different positions within a digital scene in response to render requests.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.