Deepstereo: learning to predict new views from real world imagery
US9916679B2 · kind B2 · utility
16Cited by
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18Claims
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Key dates
| Filing date | May 13, 2016 |
| Grant date | Mar 13, 2018 |
| Priority date | — |
| Expiry date | Jun 10, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method of deep learning using deep networks to predict new views from existing images may generate and improve models and representations from large-scale data. This system and method of deep learning may employ a deep architecture performing new view synthesis directly from pixels, trained from large numbers of posed image sets. A system employing this type of deep network may produce pixels of an unseen view based on pixels of neighboring views, lending itself to applications in graphics generation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.