Attribute aware zero shot machine vision system via joint sparse representations
US10908616B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2018 |
| Grant date | Feb 2, 2021 |
| Priority date | — |
| Expiry date | Apr 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for object recognition. The system generates a training image set of object images from multiple image classes. Using a training image set and annotated semantic attributes, a model is trained that maps visual features from known images to the annotated semantic attributes using joint sparse representations with respect to dictionaries of visual features and semantic attributes. The trained model is used for mapping visual features of an unseen input image to its semantic attributes. The unseen input image is classified as belonging to an image class, and a device is controlled based on the classification of the unseen input image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.