Neural network image representation
US9396415B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 1, 2015 |
| Grant date | Jul 19, 2016 |
| Priority date | — |
| Expiry date | Apr 1, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for representing an input image includes the steps of applying a trained neural network on the input image, selecting a plurality of feature maps, determining a location of each of the plurality of feature maps in an image space of the input image, defining a plurality of interest points of the input image, and employing the plurality of interest points for representing the input image for performing a visual task. The plurality of feature maps are selected of an output of at least one selected layer of the trained neural network according to values attributed to the plurality of feature maps by the trained neural network. The plurality of interest points of the input image are defined based on the locations corresponding to the plurality of feature maps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.