Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks

This paper proposes a module based distributed wireless face recognition system by integrating multiple kernel discriminant analysis with face recognition in wireless sensor networks. By maximizing the margin maximization criterion (MMC), we separately perform an iterative scheme for kernel paramete...

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Main Authors: Xiao-Zhang Liu, Guan Yang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/242105
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author Xiao-Zhang Liu
Guan Yang
author_facet Xiao-Zhang Liu
Guan Yang
author_sort Xiao-Zhang Liu
collection DOAJ
description This paper proposes a module based distributed wireless face recognition system by integrating multiple kernel discriminant analysis with face recognition in wireless sensor networks. By maximizing the margin maximization criterion (MMC), we separately perform an iterative scheme for kernel parameter optimization for each module. The simulation on the FERET and CMU PIE face databases shows that our multiple kernel framework and the optimization procedure achieve high recognition performance, compared with single-kernel-based KDDA.
format Article
id doaj-art-eafa58b042de45f4a0363fe2722fef70
institution DOAJ
issn 1550-1477
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-eafa58b042de45f4a0363fe2722fef702025-08-20T03:21:22ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-01-011010.1155/2014/242105242105Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor NetworksXiao-Zhang Liu0Guan Yang1 School of Computer Science, Dongguan University of Technology, Dongguan 523808, China School of Computer Science, Zhongyuan University of Technology, Zhengzhou 450007, ChinaThis paper proposes a module based distributed wireless face recognition system by integrating multiple kernel discriminant analysis with face recognition in wireless sensor networks. By maximizing the margin maximization criterion (MMC), we separately perform an iterative scheme for kernel parameter optimization for each module. The simulation on the FERET and CMU PIE face databases shows that our multiple kernel framework and the optimization procedure achieve high recognition performance, compared with single-kernel-based KDDA.https://doi.org/10.1155/2014/242105
spellingShingle Xiao-Zhang Liu
Guan Yang
Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks
title_full Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks
title_fullStr Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks
title_full_unstemmed Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks
title_short Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks
title_sort distributed face recognition using multiple kernel discriminant analysis in wireless sensor networks
url https://doi.org/10.1155/2014/242105
work_keys_str_mv AT xiaozhangliu distributedfacerecognitionusingmultiplekerneldiscriminantanalysisinwirelesssensornetworks
AT guanyang distributedfacerecognitionusingmultiplekerneldiscriminantanalysisinwirelesssensornetworks