Object retrieval and localization using a spatially-constrained similarity model
US8874557B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 18, 2012 |
| Grant date | Oct 28, 2014 |
| Priority date | — |
| Expiry date | Jul 18, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, apparatus, and computer-readable storage media for object retrieval and localization that employ a spatially-constrained similarity model. A spatially-constrained similarity measure may be evaluated by a voting-based scoring technique. Object retrieval and localization may thus be achieved without post-processing. The spatially-constrained similarity measure may handle object rotation, scaling and view point change. The similarity measure can be efficiently calculated by the voting-based method and integrated with inverted files. The voting-based scoring technique may simultaneously retrieve and localize a query object in a collection of images such as an image database. The object retrieval and localization technique may, for example, be implemented with a k-nearest neighbor (k-NN) re-ranking method in or as a retrieval method, system or module. The k-NN re-ranking method may be applied to improve query results of the object retrieval and localization technique.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.