Comparison of performance using Daubechies Wavelet family for facial expression recognition

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/10306

Title:	Comparison of performance using Daubechies Wavelet family for facial expression recognition
Authors:	M., Satiyan M., Hariharan Ramachandran, Nagarajan, Prof. Dr.
Keywords:	Daubechies wavelet transform Artificial neural network Facial expression recognition
Issue Date:	21-May-2010
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Series/Report no.:	Proceedings of the 6th International Colloquium on Signal Processing and Its Applications (CSPA) 2010
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.
Description:	Link to publisher's homepage at http://ieeexplore.ieee.org/
URI:	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545262 http://dspace.unimap.edu.my/123456789/10306
ISBN:	978-1-4244-7122-5
Appears in Collections:	Conference Papers Ramachandran, Nagarajan, Prof. Dr. Hariharan Muthusamy, Dr.

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