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Facial Feature Extraction Using Frequency Map Series in PCNN
Joint Authors
Min, He
Nie, Rencan
Zhou, Dongming
Jin, Xin
Yu, Jiefu
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Pulse coupled neural network (PCNN) has been widely used in image processing.
The 3D binary map series (BMS) generated by PCNN effectively describes image feature information such as edges and regional distribution, so BMS can be treated as the basis of extracting 1D oscillation time series (OTS) for an image.
However, the traditional methods using BMS did not consider the correlation of the binary sequence in BMS and the space structure for every map.
By further processing for BMS, a novel facial feature extraction method is proposed.
Firstly, consider the correlation among maps in BMS; a method is put forward to transform BMS into frequency map series (FMS), and the method lessens the influence of noncontinuous feature regions in binary images on OTS-BMS.
Then, by computing the 2D entropy for every map in FMS, the 3D FMS is transformed into 1D OTS (OTS-FMS), which has good geometry invariance for the facial image, and contains the space structure information of the image.
Finally, by analyzing the OTS-FMS, the standard Euclidean distance is used to measure the distances for OTS-FMS.
Experimental results verify the effectiveness of OTS-FMS in facial recognition, and it shows better recognition performance than other feature extraction methods.
American Psychological Association (APA)
Nie, Rencan& Zhou, Dongming& Min, He& Jin, Xin& Yu, Jiefu. 2015. Facial Feature Extraction Using Frequency Map Series in PCNN. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110512
Modern Language Association (MLA)
Nie, Rencan…[et al.]. Facial Feature Extraction Using Frequency Map Series in PCNN. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110512
American Medical Association (AMA)
Nie, Rencan& Zhou, Dongming& Min, He& Jin, Xin& Yu, Jiefu. Facial Feature Extraction Using Frequency Map Series in PCNN. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110512
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110512