Hierarchical interlinked multi-scale convolutional network for image parsing
US9530071B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 10, 2014 |
| Grant date | Dec 27, 2016 |
| Priority date | — |
| Expiry date | Feb 4, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/165
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A disclosed facial recognition system (and method) includes face parsing. In one approach, the face parsing is based on hierarchical interlinked multiscale convolutional neural network (HIM) to identify locations and/or footprints of components of a face image. The HIM generates multiple levels of image patches from different resolution images of the face image, where image patches for different levels have different resolutions. Moreover, the HIM integrates the image patches for different levels to generate interlinked image patches for different levels, where interlinked image patches for different levels have different resolutions. Furthermore, the HIM combines the interlinked image patches to identify refined locations and/or footprints of components.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.