Comparison of performance using Daubechies Wavelet family for facial expression recognition

Author

Satiyan, M. ; Hariharan, M. ; Nagarajan, R.

Author_Institution

Sch. of Mechatron. Eng., Univ. Malaysia Perlis (UniMAP), Arau, Malaysia

fYear

2010

fDate

21-23 May 2010

Firstpage

1

Lastpage

5

Abstract

This paper investigates the performance of a Daubechies Wavelet family in recognizing facial expressions. A set of luminance stickers were fixed on subject´s face and the subject is instructed to perform required facial expressions. At the same time, subject´s expressions are recorded in video. A set of 2D coordinate values are obtained by tracking the movements of the stickers in video using tracking software. Daubechies wavelet transform with different orders (db1 to db20) performed on obtained data. Standard deviation is derived from wavelet approximation coefficients for each daubechies wavelet orders. This standard deviation is used as an input to the neural network for classifying 8 facial expressions.

Keywords

approximation theory; face recognition; wavelet transforms; 2D coordinate value; Daubechies wavelet transform; facial expression recognition; luminance sticker; wavelet approximation coefficient; Artificial neural networks; Eyebrows; Face recognition; Gold; Image databases; Image recognition; Image sequences; Infrared detectors; Spatial databases; Testing; Daubechies wavelet transform; artificial neural network; facial expression recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on

Conference_Location

Mallaca City

Print_ISBN

978-1-4244-7121-8

Type

conf

DOI

10.1109/CSPA.2010.5545262

Filename

5545262