View generation from a single image using fully convolutional neural networks
US10991150B2 · kind B2 · utility
1Cited by
2References
19Claims
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Key dates
| Filing date | Nov 6, 2018 |
| Grant date | Apr 27, 2021 |
| Priority date | — |
| Expiry date | Mar 22, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N13/261
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method of rendering a stereoscopic 3D image from a single image, including receiving a collection of pairs of 3D images including an input image and an output image that is a 3D pair of the input image, training a neural network composed of convolutional layers without any fully connected layers, with pairs of 3D images from the collection, to receive an input image and generate an output image that is a 3D pair of the input image, wherein the neural network is provided as an application on a computing device, receiving an input image and generating an output image that is a 3D pair of the input image by the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.