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논문검색

Facial Expression Recognition Based on Geometric Features and Geodesic Distance

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

저자정보

  • Kezheng Lin Department of Computer Science and Technology, Harbin University of Science and Technology Harbin, 150080China
  • Weiyue Cheng Department of Computer Science and Technology, Harbin University of Science and Technology Harbin, 150080China
  • Jingtian Li Department of Computer Science and Technology, Harbin University of Science and Technology Harbin, 150080China

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