Object pose neural network system
US11625852B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 7, 2020 |
| Grant date | Apr 11, 2023 |
| Priority date | — |
| Expiry date | Jun 15, 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 predicting object pose. In one aspect, a method includes receiving an image of an object having one or more feature points; providing the image as an input to a neural network subsystem trained to receive images of objects and to generate an output including a heat map for each feature point; applying a differentiable transformation on each heat map to generate respective one or more feature coordinates for each feature point; providing the feature coordinates for each feature point as input to an object pose solver configured to compute a predicted object pose for the object, wherein the predicted object pose for the object specifies a position and an orientation of an object; and receiving, at the output of the object pose solver, a predicted object pose for the object in the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.