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文章基本信息

  • 标题:Facial Expression Recognition Based on Geometric Features and Geodesic Distance
  • 本地全文:下载
  • 作者:Kezheng Lin ; Weiyue Cheng ; Jingtian Li
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:1
  • 页码:323-330
  • DOI:10.14257/ijsip.2014.7.1.30
  • 出版社:SERSC
  • 摘要: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.
  • 关键词:geometric features; false geodesic distance; relative feature extraction; ; Mahalanobis distance
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