Method and system for generating random graphic training dataset and hologram
US12340449B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 24, 2023 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Nov 23, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for generating a random graphic training dataset and a hologram is disclosed, which relates to the technical field of image processing. The method for generating a random graphic training dataset includes: randomly generating a plurality of graphic datasets, where each of the graphic datasets includes a square, a circle and an equilateral triangle; for any graphic dataset, performing gradual filling on each graphic in the graphic dataset to obtain a gradual graphic dataset; and performing translation transformation on each graphic in the gradual graphic dataset for a predetermined number of times to obtain random graphics corresponding to the graphic dataset, and determining random graphics corresponding to all graphic datasets as a random graphic training dataset. More comprehensive training data can be provided and a training effect of a model can be improved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.