Presentation	2004/11/11 Face Recognition Based on Recursive Bayesian Fusion of Multiple Signals and Results from Expert Classifier Sets Ryo KUZUI, Michael HILD,
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Abstract(in English)	We report on a system for person identification based on face images. The system uses sequences of visual wavelength intensity and thermal image pairs as input and carries out classification with a set of expert classifiers (such as ANN or SVM) for each input signal separately. The decisions of the classifiers are integrated both over the two signals and over time as new image pairs arrive, using stochastic recursive inference based on Bayes formula. Our experimental results indicate that both recognition and rejection fates are higher than those for the expert classifiers alone.
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Paper #	PRMU2004-104,HIP2004-44
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Committee	HIP
Conference Date	2004/11/11(1days)
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Registration To	Human Information Processing (HIP)
Language	JPN
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Title (in English)	Face Recognition Based on Recursive Bayesian Fusion of Multiple Signals and Results from Expert Classifier Sets
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1st Author's Name	Ryo KUZUI
1st Author's Affiliation	Osaka Electro-Communication University, Graduate School of Engineering()
2nd Author's Name	Michael HILD
2nd Author's Affiliation	Osaka Electro-Communication University, Graduate School of Engineering
Date	2004/11/11
Paper #	PRMU2004-104,HIP2004-44
Volume (vol)	vol.104
Number (no)	449
Page	pp.pp.-
#Pages	6
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