Scalable near duplicate image search with geometric constraints
US8787680B2 · kind B2 · utility
0Cited by
7References
18Claims
0Family size
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Key dates
| Filing date | Aug 27, 2012 |
| Grant date | Jul 22, 2014 |
| Priority date | — |
| Expiry date | Aug 27, 2032 |
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.