Facial expression recognition over FFT-OFDM

Author

Lajevardi, Seyed Mehdi ; Neville, Katrina L. ; Hussain, Zahir M.

Author_Institution

Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia

fYear

2009

fDate

12-14 Oct. 2009

Firstpage

35

Lastpage

38

Abstract

Facial expression recognition (FER) is an important task in human-computer interaction systems to include emotion processing. In this work we present the recognition of facial expressions in OFDM systems. The original image is converted to binary code then it is transmitted via OFDM over a multi-path fading channel. The features are then extracted from the reconstructed image at the receiver based on the log Gabor filter. Finally, the features are classified using the naive Bayesian classifier. Simulation results on the Cohn-Kanade database show that the system obtains good results in the presence of noise in the received images.

Keywords

Gabor filters; OFDM modulation; binary codes; face recognition; fading channels; fast Fourier transforms; feature extraction; image coding; image reconstruction; Cohn-Kanade database; FFT-OFDM; binary code; computer interaction systems; emotion processing; facial expression recognition; feature extraction; log Gabor filter; multipath fading channel; naive Bayesian classifier; reconstructed image; Bayesian methods; Binary codes; Emotion recognition; Face recognition; Fading; Feature extraction; Gabor filters; Image converters; Image reconstruction; OFDM; Gabor filter; OFDM; data compression; image processing; wireless transmission;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Technologies for Communications, 2009. ATC '09. International Conference on

Conference_Location

Hai Phong

Print_ISBN

978-1-4244-5139-5

Type

conf

DOI

10.1109/ATC.2009.5349353

Filename

5349353