Image matting using deep learning
US10255681B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2017 |
| Grant date | Apr 9, 2019 |
| Priority date | — |
| Expiry date | May 3, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for generating mattes for input images. A neural network system can be trained where the training includes training a first neural network that generates mattes for input images where the input images are synthetic composite images. Such a neural network system can further be trained where the training includes training a second neural network that generates refined mattes from the mattes produced by the first neural network. Such a trained neural network system can be used to input an image and trimap pair for which the trained system will output a matte. Such a matte can be used to extract an object from the input image. Upon extracting the object, a user can manipulate the object, for example, to composite the object onto a new background.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.