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- W2373777319 abstract "This paper studies the next sampling Contourlet transform in the application of facial expression recognition,and the corresponding algorithm design process. The image segmentation of facial expression is divided into two parts covering the eyes and the mouth,which to the most extent can represent the expression information,and then uses the sampling Contourlet transform under the division of local image feature extraction,furtherly using extreme learning machine for classification,and makes the comparison with the BP neural network control experiment. The results showed that expression classification accuracy can reach 86. 57% on average,than the BP neural network classification method of average accuracy higher than 7. 43%. In the speed of execution method,the fact that extreme learning machine is 11. 09 times that of the BP neural network shows the efficiency and feasibility of the experiment scheme." @default.
- W2373777319 created "2016-06-24" @default.
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- W2373777319 date "2015-01-01" @default.
- W2373777319 modified "2023-09-25" @default.
- W2373777319 title "Facial Expression Recognition based on the Next Sampling Contourlet Transform Algorithm Research" @default.
- W2373777319 hasPublicationYear "2015" @default.
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