Method and apparatus for object recognition using probability models
US7596247B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 15, 2003 |
| Grant date | Sep 29, 2009 |
| Priority date | — |
| Expiry date | Feb 10, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/84
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and an apparatus automatically recognize or verify objects in a digital image using probability models. According to a first aspect, a method and apparatus automatically recognize or verify objects in a digital image by: accessing digital image data including an object of interest therein; detecting an object of interest in the image; normalizing the object to generate a normalized object representation; extracting a plurality of features from the normalized object representation; and applying each feature to a previously-determined additive probability model to determine the likelihood that the object of interest belongs to an existing class. In one embodiment, the previously-determined additive probability model is an Additive Gaussian Model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.