Utilizing a critical edge detection neural network and a geometric model to determine camera parameters from a single digital image
US11094083B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 25, 2019 |
| Grant date | Aug 17, 2021 |
| Priority date | — |
| Expiry date | Aug 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a critical edge detection neural network and a geometric model to determine camera parameters from a single digital image. In particular, in one or more embodiments, the disclosed systems can train and utilize a critical edge detection neural network to generate a vanishing edge map indicating vanishing lines from the digital image. The system can then utilize the vanishing edge map to more accurately and efficiently determine camera parameters by applying a geometric model to the vanishing edge map. Further, the system can generate ground truth vanishing line data from a set of training digital images for training the critical edge detection neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.