Determining depth from structured light using trained classifiers
US9916524B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2016 |
| Grant date | Mar 13, 2018 |
| Priority date | — |
| Expiry date | Jun 10, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for determining depth for a visual content item using machine-learning classifiers include obtaining a visual content item of a reference light pattern projected onto an object, and determining shifts in locations of pixels relative to other pixels representing the reference light pattern. Disparity, and thus depth, for pixels may be determined by executing one or more classifiers trained to identify disparity for pixels based on the shifts in locations of the pixels relative to other pixels of a visual content item depicting in the reference light pattern. Disparity for pixels may be determined using a visual content item of a reference light pattern projected onto an object without having to match pixels between two visual content items, such as a reference light pattern and a captured visual content item.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.