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Facial Expression Recognition Based on PCA Reconstruction

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The article proposed a new way of facial expression recognition by reconstructing the PCAmethods. Separating the training set into 7 parts by expression, and get the Orthonormal Basis of each subsetexpression by PCA algorithm. Then make projection with the original image on each of the OrthonormalBasis, rebuilt the projection coordinate and recognize the expression by the combination of D-valuesummation and similarity methods. Finally, we get the final result by comparing the similarity between theoriginal and reconstruction image.

Zhenjin CHENG、Zheng ZHAO、Han SUN

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College of Computer Science and Technology, Tianjin University, Tianjin, China, 300072

expression recognition PCA image reconstruction D-value summation similarity

中国电子学会

2011年全国高等职业教育电子信息类专业学术暨教学研讨会

2011-05-01

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2011年全国高等职业教育电子信息类专业学术暨教学研讨会论文集

342-346

2011