Name
Title | ||
|---|---|---|
A Facial Expression Recognition Approach Based on Confusion-Crossed Support Vector Machine Tree |
Abstract | ||
|---|---|---|
A hybrid learning approach named confusioncrossed support vector machine tree (CSVMT) has been proposed in our current work. It is developed to achieve a better performance for complex distribution problems even when the two parameters of SVM are not appropriately selected. In this paper a facial expression recognition approach based on CSVMT is proposed. Pseudo-Zernike moments are applied in the feature extraction phase, and then CSVMT learning model is performed during the facial expression recognition phase. The compared results on Cohn- Kanade facial expression database show that the proposed approach appeared higher recognition accuracy than the other approaches. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IIH-MSP.2006.9 | IIH-MSP |
Keywords | Field | DocType |
feature extraction phase,confusion-crossed support,hybrid learning approach,complex distribution problem,higher recognition accuracy,vector machine tree,facial expression recognition phase,kanade facial expression database,facial expression recognition approach,better performance,pseudo-zernike moment,facial expression,psychology,feature extraction,face recognition,image recognition,data mining,support vector machines,image analysis,polynomials,support vector machine | Computer vision,Facial recognition system,Confusion,Polynomial,Facial expression recognition,Pattern recognition,Computer science,Support vector machine,Feature extraction,Facial expression,Artificial intelligence,Support vector machine classification | Conference |
ISBN | Citations | PageRank |
0-7695-2745-0 | 1 | 0.37 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qinzhen Xu | 1 | 10 | 3.57 |
| ZHANG Pin-zheng | 2 | 16 | 3.06 |
| Wenjiang Pei | 3 | 49 | 17.26 |
| Luxi Yang | 4 | 1180 | 118.08 |
| Zhenya He | 5 | 207 | 38.98 |