Neural network foreground separation for mixed reality
US10269159B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Jul 27, 2017 |
| Grant date | Apr 23, 2019 |
| Priority date | — |
| Expiry date | Jul 27, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A head wearable device, a method, and a system. The head wearable device may include a display, a camera, a convolutional neural network (CNN) processor, and a processor. The CNN processor may be configured to: receive real scene image data from the camera; identify and classify objects in a real scene image; and generate object classification and position data. The processor may be configured to receive the real scene image data; receive the object classification and position data from the CNN processor; perform an image segmentation operation on the real scene image to fill in the objects; generate filled-in object data indicative of filled-in objects; generate a pixel mask; receive virtual scene image data; create mixed reality scene image data; and output the mixed reality scene image data to the display for presentation to a user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.