Expression recognition method and system based on multi-scale features and spatial attention
US12354405B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2025 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Feb 24, 2045 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/174
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates to the technical field of expression recognition, and in particular, to an expression recognition method and system based on multi-scale features and spatial attention. The method includes: performing feature extraction on acquired facial image data by using an HNFER neural network model to obtain an original input feature map; performing pooling and concatenation on extracted features based on a CoordAtt attention mechanism to obtain a feature map; performing deep convolution processing on the feature map to obtain an attention map, and then performing element-by-element multiplication to obtain a final feature map; and performing feature transformation and normalization on the final feature map to obtain an expression category probability and output the expression category probability. In the present invention, by integrating scale perception and spatial attention technologies, the model can recognize and classify different emotional states more accurately and maintain high performance even under complex environmental conditions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.