Hybrid deep learning method for recognizing facial expressions
US11308313B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 2, 2020 |
| Grant date | Apr 19, 2022 |
| Priority date | — |
| Expiry date | Jun 2, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/174
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer implemented method for recognizing facial expressions by applying feature learning and feature engineering to face images. The method includes conducting feature learning on a face image comprising feeding the face image into a first convolution neural network to obtain a first decision, conducting feature engineering on a face image, comprising the steps of automatically detecting facial landmarks in the face image, transforming the facial features into a two-dimensional matrix, and feeding the two-dimensional matrix into a second convolution neural network to obtain a second decision, computing a hybrid decision based on the first decision and the second decision, and recognizing a facial expression in the face image in accordance to the hybrid decision.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.