Fixation generation for machine learning
US10489691B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 15, 2016 |
| Grant date | Nov 26, 2019 |
| Priority date | — |
| Expiry date | May 5, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure extends to methods, systems, and apparatuses for automated fixation generation and more particularly relates to generation of synthetic saliency maps. A method for generating saliency information includes receiving a first image and an indication of one or more sub-regions within the first image corresponding to one or more objects of interest. The method includes generating and storing a label image by creating an intermediate image having one or more random points. The random points have a first color in regions corresponding to the sub-regions and a remainder of the intermediate image having a second color. Generating and storing the label image further includes applying a Gaussian blur to the intermediate image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.