Invariant object recognition
US8626686B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 20, 2007 |
| Grant date | Jan 7, 2014 |
| Priority date | — |
| Expiry date | Jul 5, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/454
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Simulated neural circuitry is trained using sequences of images representing moving objects, such that the simulated neural circuitry recognizes objects by having the presence of lower level object features that occurred in temporal sequence in the images representing moving objects trigger the activation of higher level object representations. Thereafter, an image of an object that includes lower level object features is received, the trained simulated neural circuitry activates a higher level representation of the object in response to the lower level object features from the image, and the object is recognized using the trained simulated neural circuitry.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.