Systems and methods for synthesizing data for training statistical models on different imaging modalities including polarized images
US11797863B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 4, 2021 |
| Grant date | Oct 24, 2023 |
| Priority date | — |
| Expiry date | Jan 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2219/2024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of generating synthetic images of virtual scenes includes: placing, by a synthetic data generator implemented by a processor and memory, three-dimensional (3-D) models of objects in a 3-D virtual scene; adding, by the synthetic data generator, lighting to the 3-D virtual scene, the lighting including one or more illumination sources; applying, by the synthetic data generator, imaging modality-specific materials to the 3-D models of objects in the 3-D virtual scene in accordance with a selected multimodal imaging modality, each of the imaging modality-specific materials including an empirical model; setting a scene background in accordance with the selected multimodal imaging modality; and rendering, by the synthetic data generator, a two-dimensional image of the 3-D virtual scene based on the selected multimodal imaging modality to generate a synthetic image in accordance with the selected multimodal imaging modality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.