Few-shot viewpoint estimation
US11375176B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 3, 2020 |
| Grant date | Jun 28, 2022 |
| Priority date | — |
| Expiry date | Feb 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
When an image is projected from 3D, the viewpoint of objects in the image, relative to the camera, must be determined. Since the image itself will not have sufficient information to determine the viewpoint of the various objects in the image, techniques to estimate the viewpoint must be employed. To date, neural networks have been used to infer such viewpoint estimates on an object category basis, but must first be trained with numerous examples that have been manually created. The present disclosure provides a neural network that is trained to learn, from just a few example images, a unique viewpoint estimation network capable of inferring viewpoint estimations for a new object category.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.