Fine-grained object recognition in robotic systems
US10322510B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 3, 2017 |
| Grant date | Jun 18, 2019 |
| Priority date | — |
| Expiry date | Jul 11, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/141
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for fine-grained object recognition in a robotic system is disclosed that includes obtaining an image of an object from an imaging device. Based on the image, a deep category-level detection neural network is used to detect pre-defined categories of objects. A feature map is generated for each pre-defined category of object detected by the deep category-level detection neural network. Embedded features are generated, based on the feature map, using a deep instance-level detection neural network corresponding to the pre-defined category of the object, wherein each pre-defined category of an object comprises a corresponding different instance-level detection neural network. An instance-level of the object is determined based on classification of the embedded features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.