Facial landmark localization using coarse-to-fine cascaded neural networks
US9400922B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2014 |
| Grant date | Jul 26, 2016 |
| Priority date | — |
| Expiry date | May 29, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention overcomes the limitations of the prior art by performing facial landmark localization in a coarse-to-fine manner with a cascade of neural network levels, and enforcing geometric constraints for each of the neural network levels. In one approach, the neural network levels may be implemented with deep convolutional neural network. One aspect concerns a system for localizing landmarks on face images. The system includes an input for receiving a face image, and an output for presenting landmarks identified by the system. Neural network levels are coupled in a cascade from the input to the output for the system. Each neural network level produces an estimate of landmarks. The estimate of landmarks is more refined than an estimate of landmark of a previous neural network level.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.