Sketch completion using machine learning
US10650290B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2018 |
| Grant date | May 12, 2020 |
| Priority date | — |
| Expiry date | Nov 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2200/24
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Sketch completion using machine learning in a digital medium environment is described. Initially, a user sketches a digital image, e.g., using a stylus in a digital sketch application. A model trained using machine learning is leveraged to identify and describe visual characteristics of the user sketch. The visual characteristics describing the user sketch are compared to clusters of data generated by the model and that describe visual characteristics of a set of digital sketch images. Based on the comparison, digital sketch images having visual characteristics similar to the user sketch are identified from similar clusters. The similar images are returned for presentation as selectable suggestions for sketch completion of the sketched object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.