Dynamically estimating lighting parameters for positions within augmented-reality scenes based on global and local features
US10665011B1 · kind B1 · utility
Assignees
Inventors
Key dates
| Filing date | May 31, 2019 |
| Grant date | May 26, 2020 |
| Priority date | — |
| Expiry date | May 31, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2215/16
- 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 render a virtual object in a digital scene by using a local-lighting-estimation-neural network to analyze both global and local features of the digital scene and generate location-specific-lighting parameters for a designated position within the digital scene. For example, the disclosed systems extract and combine such global and local features from a digital scene using global network layers and local network layers of the local-lighting-estimation-neural network. In certain implementations, the disclosed systems can generate location-specific-lighting parameters using a neural-network architecture that combines global and local feature vectors to spatially vary lighting for different positions within a digital scene.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.