Graph image representation from convolutional neural networks
US9418458B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 4, 2016 |
| Grant date | Aug 16, 2016 |
| Priority date | — |
| Expiry date | Jan 4, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/454
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for producing a graph representation of an input image, the method including the procedures of applying convolutional layers of a trained convolutional neural network on the input image, defining a receptive field of a last convolutional layer of the trained convolutional neural network as a vertex of the graph representation, defining a vector of a three dimensional output matrix of the last convolutional layer that is mapped to the receptive field as a descriptor for the vertex and determining an edge between a pair of vertices of the graph representation by applying an operator on a pair of descriptors respective of the pair of vertices.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.