Edge texture feature extraction and expression recognition based on curvelet

Author

Kezheng Lin ; Shuai Liu ; Weiyue Cheng ; Hao Wang

Author_Institution

Coll. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China

Volume

2

fYear

2013

fDate

June 28 2013-July 1 2013

Firstpage

7

Lastpage

10

Abstract

For the wavelet transform has limitations in extract features of the edge of images, a method of the facial expression recognition is proposed that using curvelet transform to extract features of the edge of images. The curvelet transform can get more representation of sparse images than the wavelet transform on the representation of the singular of the edges of image curve. The curvelet coefficient that can be got by using the curvelet transform on the facial images as the edge of the texture features can better reflect the change in facial expression. As the same time, the k-nearest neighbor algorithm is used to recognize different expression in this paper. The result shows that the proposed algorithm in this paper is more effective than the wavelet transform in expression recognition.

Keywords

curvelet transforms; edge detection; emotion recognition; face recognition; feature extraction; image representation; image texture; curvelet coefficient; curvelet transform; edge texture feature extraction; facial expression recognition; facial images; image curve edge singular representation; k-nearest neighbor algorithm; sparse image representation; Image edge detection; Reliability; Transforms; curvelet transform; expression recognition; feature extraction; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Strategic Technology (IFOST), 2013 8th International Forum on

Conference_Location

Ulaanbaatar

Print_ISBN

978-1-4799-0931-5

Type

conf

DOI

10.1109/IFOST.2013.6616863

Filename

6616863