Unsupervised learning of object categories from cluttered images
US7280697B2 · kind B2 · utility
17Cited by
5References
18Claims
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Key dates
| Filing date | Feb 1, 2002 |
| Grant date | Oct 9, 2007 |
| Priority date | — |
| Expiry date | Mar 29, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/24155
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Unsupervised learning of object category from images is carried out by using an automatic image recognition system. A plurality of training images are automatically analyzed using an interest operator which produces an indication of features. Those features are clustered using a vector guantizer. The model is learned from the features using expectation maximization to assess a joint probability of which features are most relevant.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.