Forecasting multiple poses based on a graphical image
US10096125B1 · kind B1 · utility
6Cited by
6References
20Claims
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Key dates
| Filing date | Apr 7, 2017 |
| Grant date | Oct 9, 2018 |
| Priority date | — |
| Expiry date | Apr 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A forecasting neural network receives data and extracts features from the data. A recurrent neural network included in the forecasting neural network provides forecasted features based on the extracted features. In an embodiment, the forecasting neural network receives an image, and features of the image are extracted. The recurrent neural network forecasts features based on the extracted features, and pose is forecasted based on the forecasted features. Additionally or alternatively, additional poses are forecasted based on additional forecasted features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.