Human Emotion Recognition Using Fused 2D-Fractional FourierTransform Features Based on CCA
[1]MU Xiaomin,ZHANG Sisi,QI Lin.Human Emotion Recognition Using Fused 2D-Fractional FourierTransform Features Based on CCA[J].Journal of Zhengzhou University (Engineering Science),2012,33(01):109-112.[doi:10.3969/j.issn.1671-6833.2012.01.027]
Copy
Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
33
Number of periods:
2012 01
Page number:
109-112
Column:
Public date:
2012-01-10
- Title:
- Human Emotion Recognition Using Fused 2D-Fractional FourierTransform Features Based on CCA
- Keywords:
- emotion recognition; 2D-FrFT; feature fusion; CCA
- CLC:
- TN91
- Abstract:
- In this. paper, we explored an approach for recognizing human cmotional state from fused 2D-FrF’Tfealures based on Canonical Correlation Analysis ( CCA). This approach is mainly based on the correlation be-tween different orders in 2D-FrF’T. First, the visual features are extracted by 2D-FrFT, and two orders arechoser which achieve the highest recognition rate for feature fusion through CCA, Then we send the fused fea.tures into the multi-classifier based on SVM. The feasibility of the recognition approach we proposed has beentested and the experimental results sufficiently demonstrate the effectiveness of the proposed approach.
- References:
- -
- Similar References:
Memo
-
Last Update:
1900-01-01