원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.1
2014.02
pp.323-330
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The paper mainly studies static 2D face images through reconstructing 3D model by a specific algorithm. First, the paper need collect geometric features, and obtain the three-dimensional space of false geodesic distance. Those are to emotional changes. Second, remove the relative feature extraction. Finally, compares the test sample and the training samples about the Mahalanobis distance. The experimental results show the recognition rate reaching to ninety percent. Results illustrate the validity of the algorithm.
목차
Abstract
1. Introduction
2. Computation Based on False Geodesic Distance
3. Emotion Recognition Based on PCA and False Geodesic Distance
4. Experiment Result and Analysis
5. Conclusion
Acknowledgements
References
1. Introduction
2. Computation Based on False Geodesic Distance
3. Emotion Recognition Based on PCA and False Geodesic Distance
4. Experiment Result and Analysis
5. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보