Title | ||
---|---|---|
Multi-gradient features and elongated quinary pattern encoding for image-based facial expression recognition. |
Abstract | ||
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•A novel texture extraction method for facial expression recognition is proposed.•High performance is attained with both posed and spontaneous facial expression.•Multi-gradient features for magnitude and angle components are derived.•Multi Classifier System based on the multi-class SVM is adopted.•Comparison with the state-of-the-art showed the superiority of the method. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1016/j.patcog.2017.06.007 | Pattern Recognition |
Keywords | Field | DocType |
Texture feature analysis,Spontaneous facial expression,Multi gradient magnitude and angle images,Elongated quinary pattern,Multi classifier system,Multi-class SVM classifier | Histogram,Computer science,Sobel operator,Artificial intelligence,Classifier (linguistics),Kernel (linear algebra),Computer vision,Pattern recognition,Support vector machine,Feature extraction,Pixel,Machine learning,Encoding (memory) | Journal |
Volume | Issue | ISSN |
71 | 1 | 0031-3203 |
Citations | PageRank | References |
6 | 0.45 | 24 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Saadoon A. M. Al-Sumaidaee | 1 | 11 | 1.30 |
Mohammed A. M. Abdullah | 2 | 36 | 4.31 |
Raid Rafi Omar Al-Nima | 3 | 17 | 2.05 |
S. S. Dlay | 4 | 198 | 23.94 |
Jonathon Chambers | 5 | 868 | 82.37 |