Scalable near duplicate image search with geometric constraints
US8254697B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 2, 2009 |
| Grant date | Aug 28, 2012 |
| Priority date | — |
| Expiry date | Jun 29, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/751
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods are disclosed for finding images from a large corpus of images that at least partially match a query image. The present method makes use of feature detectors to bundle features into local groups or bundles. These bundled features are repeatable and much more discriminative than an individual SIFT feature. Equally importantly, the bundled features provide a flexible representation that allows simple and robust geometric constraints to be efficiently enforced when querying the index.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.