Expression Recognition Based on Feature Fusion Method for Dimensionality Reduction
ZHANG Xu
WU Songming
ZHANG Hui
TONG Xiaonian
Abstract：In order to reduce the dimensionality and the calculation of expression recognition ,a new method based on the traditional framework is used .Firstly ,features of expression images were extracted with Gabor wavelet of the prepro‐cessed images .Then ,getting the number of the image which has the largest pixel value as the new feature for the eight dif‐ferent orientations on the same scale .So the dimension of characteristic will be reduced to 1/8 of the original .Finally ,count‐ing the feature of fused image which has divided into blocks by statistical histogram .And treating the statistical information as the final feature for classification .Experimental results show that the method reduces the computational of classification of the images in the context of guaranteeing facial expression recognition rate and also improves the system efficiency .
Keywords：Gabor filterfacial expression recognitionfeature fusionhistogramclassificationdimensionality reduction
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 396-399,427 )