NDLI: Facial Expression Recognition Based on Field Programmable Gate Array

Content Provider	IEEE Xplore Digital Library
Author	Jzau-Sheng Lin Shao-Han Liou Wu-Chih Hsieh Yu-Yi Liao HongChao Wang QingHua Lan
Copyright Year	2009
Abstract	In this paper, we proposed a hardware system with Field Programmable Gate Array (FPGA) for facial expression recognition which used Haar Discrete Wavelet Transform (DWT) and Cerebellar Model Articulation Controller (CMAC). Firstly, the facial expression features are automatically extracted and preprocessed to obtain the frontal view of faces. A 2D DWT IP is then used to decrease the size of images. Thirdly, a block size of the lower frequency of DWT coefficients is rearranged as input vectors with binary manner to send into the proposed CMAC IP that can rapidly obtain output using non-linear mapping with look-up table in training or recognizing phase. Finally, the experimental results demonstrated recognition rates with a block size of coefficient in lower frequency to recognize six expressions, including happiness, sadness, surprise, anger, disgust and natural to show promising recognition results.
Starting Page	547
Ending Page	550
File Size	373464
Page Count	4
File Format	PDF
ISBN	9780769537443
DOI	10.1109/IAS.2009.266
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Field programmable gate arrays Image quality Dynamic range Digital images Brightness Image coding Digital cameras Colored noise Histograms Feature extraction CMAC FPGA Facial expression recognition
Content Type	Text
Resource Type	Article

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