Object recognition of feature-sparse or texture-limited subject matter
US9720934B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 13, 2014 |
| Grant date | Aug 1, 2017 |
| Priority date | — |
| Expiry date | Sep 8, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/764
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An object recognition system can be adapted to recognize subject matter having very few features or limited or no texture. A feature-sparse or texture-limited object can be recognized by complementing local features and/or texture features with color, region-based, shape-based, three-dimensional (3D), global, and/or composite features. Machine learning algorithms can be used to classify such objects, and image matching and verification can be adapted to the classification. Further, multiple modes of input can be integrated at various stages of the object recognition processing pipeline. These multi-modal inputs can include user feedback, additional images representing different perspectives of the object or specific regions of the object including a logo or text corresponding to the object, user behavior data, location, among others.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.