Multi-object image parsing using neural network pipeline
US11238593B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 12, 2020 |
| Grant date | Feb 1, 2022 |
| Priority date | — |
| Expiry date | Mar 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for parsing a source image, to identify segments of one or more objects within the source image. The parsing is carried out by an image parsing pipeline that includes three distinct stages comprising three respectively neural network models. The source image can include one or more objects. A first neural network model of the pipeline identifies a section of the source image that includes the object comprising a plurality of segments. A second neural network model of the pipeline generates, from the section of the source image, a mask image, where the mask image identifies one or more segments of the object. A third neural network model of the pipeline further refines the identification of the segments in the mask image, to generate a parsed image. The parsed image identifies the segments of the object, by assigning corresponding unique labels to pixels of different segments of the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.