Produce recognition method
US9412050B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 12, 2010 |
| Grant date | Aug 9, 2016 |
| Priority date | — |
| Expiry date | Aug 23, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/68
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A produce recognition method which uses hierarchical Bayesian learning and kernel combination, and which offers classification-oriented synergistic data integration from diverse sources. An example method includes providing a classifier having a plurality of inputs, each input being adapted to receive produce data of a different modality; mapping the produce data to the respective input of the classifier by a computer; for each input, independently operating on the data relating to that input to create a feature set by the computer; comparing each feature in the feature set to respective pre-trained data for that feature to produce a similarity description set; combining all similarity description sets using a dedicated weighting function to produce a composite similarity description by the computer; and deriving a plurality of class values from the composite similarity description to create a recognition result for the produce item by the computer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.