System and method for performing classification through generative models of features occurring in an image
US8000538B2 · kind B2 · utility
5Cited by
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30Claims
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Key dates
| Filing date | Dec 22, 2006 |
| Grant date | Aug 16, 2011 |
| Priority date | — |
| Expiry date | Feb 11, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19173
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for image performing classification through generative models of features occurring in an image. Category-conditional probability distributions of features occurring in a plurality of training images are maintained. Each distribution is assigned to a category. The features occurring in an unclassified image are identified. Category-conditional likelihoods for the identified features are determined using the category-conditional probability distributions for each category. The unclassified image is assigned to one such category based upon the category-conditional likelihoods.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.