Generating a machine learning model for objects based on augmenting the objects with physical properties
US10565475B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 24, 2018 |
| Grant date | Feb 18, 2020 |
| Priority date | — |
| Expiry date | Sep 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device receives images of a video stream, models for objects in the images, and physical property data for the objects, and maps the models and the physical property data to the objects in the images to generate augmented data sequences. The device applies different physical properties to the objects in the augmented data sequences to generate augmented data sequences with different applied physical properties, and trains a machine learning (ML) model based on the images to generate a first trained ML model. The device trains the ML model, based on the augmented data sequences with the different applied physical properties, to generate a second trained ML model, and compares the first trained ML model and the second trained ML model. The device determines whether the second trained ML model is optimized based on the comparison, and provides the second trained ML model when optimized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.