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The Research of the Facial Expression Recognition Method for Human-Computer Interaction Based on the Gabor Features of the Key Regions

Year: 2014

Type: article

Abstract: According to the fact that the Gabor features of the global face image are interfered easily, the method of facial expression recognition based on the Gabor transforming to the key area of the human face image was discussed. The face features location was achieved by the active shape model and the Gabor features of the local area of the key points relation to expression was extracted. On the basis, the PCA was utilized to realize dimensional reduction of the Gabor features. On the end, the facial expression recognition was realized based on the support vector machine. Compared with the global face image Gabor features, experimental results demonstrate that Gabor features of the key area of human face image can increase the accuracy of the facial expression recognition effectively.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

Authors: Zhan Qun, Zhao Nanxiang

Institutions: Anhui Agricultural University, PLA Electronic Engineering Institute

Language: English

Topic: Face and Expression Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2741061244

FWCI:

Cites: 23

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Related to: 10