Generation of synthetic image data for computer vision models
US10860836B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2018 |
| Grant date | Dec 8, 2020 |
| Priority date | — |
| Expiry date | Feb 13, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are generally described for object detection in image data. First image data comprising a first plurality of pixel values representing an object and a second plurality of pixel values representing a background may be received. First foreground image data and first background image data may be generated from the first image data. A first feature vector representing the first plurality of pixel values may be generated. A second feature vector representing a first plurality of pixel values of second background image data may be generated. A first machine learning model may determine a first operation to perform on the first foreground image data. A transformed representation of the first foreground image data may be generated by performing the first operation on the first foreground image data. Composite image data may be generated by compositing the transformed representation of the first foreground image data with the second background image data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.