Visual object recognition
US10049307B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 4, 2016 |
| Grant date | Aug 14, 2018 |
| Priority date | — |
| Expiry date | Aug 24, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Technical solutions are described for training an object-recognition neural network that identifies an object in a computer-readable image. An example method includes assigning a first neural network for determining a visual alignment model of the images for determining a normalized alignment of the object. The method further includes assigning a second neural network for determining a visual representation model of the images for recognizing the object. The method further includes determining the visual alignment model by training the first neural network and determining the visual representation model by training the second neural network independent of the first. The method further includes determining a combined object recognition model by training a combination of the first neural network and the second neural network. The method further includes recognizing the object in the image based on the combined object recognition model by passing the image through each of the neural networks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.