Object recognition neural network for amodal center prediction
US11989900B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2021 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Nov 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30244
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for object recognition neural network for amodal center prediction. One of the methods includes receiving an image of an object captured by a camera. The image of the object is processed using an object recognition neural network that is configured to generate an object recognition output. The object recognition output includes data defining a predicted two-dimensional amodal center of the object, wherein the predicted two-dimensional amodal center of the object is a projection of a predicted three-dimensional center of the object under a camera pose of the camera that captured the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.