A Hierarchical Facial Feature Extraction Method for Expression Recognition

Jin Lin Han; Hong Zhang

doi:10.4028/www.scientific.net/AMR.452-453.802

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 452-453A Hierarchical Facial Feature Extraction Method...

A Hierarchical Facial Feature Extraction Method for Expression Recognition

Abstract:

With the development of computer visual technology, facial expression recognition plays an important role in the friendly and harmonious human-computer interaction field.Against the inadequacy of the original feature extraction method based on singular value decomposition, this paper proposed a hierarchical facial feature extraction method according to the needs of facial expression recognition, which combines the way of hierarchy and block to enhance the detail information of the image. Then utilize a combination of support vector machine to classify. The results of the two experiments show that the method is effective for the facial identity and expression recognition.

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Periodical:

Advanced Materials Research (Volumes 452-453)

Pages:

802-806

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.452-453.802

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Online since:

January 2012

Authors:

Jin Lin Han, Hong Zhang

Keywords:

Expression Recognition, Face Recognition, Feature Extraction, Singular Value Decomposition (SVD)

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