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- W2187627858 abstract "vocabulary, later on,itisorganized into taxonomy Thispaper proposes aface recognition method that is wherekeyconcepts areidentified, andnow these robust against image variations duetoarbitrary days, ontology isarising research areainthefield of lighting condition. Though manyresearches have patternclassification, datamining, andother beencarrfied outon facerecognition systempurposes. Usually, thegoal ofbuilding ontology isto however; thereetselcreate a logical framework, a classification, or to illumination, pose, alimenolusition, etc. Ts develop a common understanding related tosome pprumpnatesnts alcontentologyumon,delcmakin objects. Theaimofthis paper istobuild ontology on paperpresents a context ontology modelmaking a varan iluinto to imrv th acurc .1f rous fac reogito sytm n dffrn variant illumination toimprove theaccuracy of illumination situar tions.Ourropose systemwodiferk visionsystem using ontological context modelling. olluminatwon p uasnironmental ronosedsystext wonto y Inthis paper, we present context ontology method to on twophases: environmental contextontology inrdc th oe ocp f mg otx oe ......... . 1~~~~~~ntroduce thenovel conce tofimaecontext model building (modelling) andrecognition using context g ontology. Context ontology isbuilt using contexttoorganize images incertain waytoachieve high acquisition, contextlearningand contextefficient facerecognition. Itdistinguishes the acategoriztion. otexreconitng approaisx environmental illumination variations ofinput image impemenateoni. viferecognitionusing unsupervised learning methodrepeatedly and t aesmentied cn illmina*on asint andperorms derives context ontology. Thesystem also constructs that takes identified context asinput andperforms aclsierytmfoechonxtaegyuig .. . . ~~~~~~~~a classifier svstem foreachcontext cateoryusing recognition withusualprocess suchas prey c f g processing, feature extraction, learning, and g a (A. T s recognition. We havetested therecognition system isencoded intermsofartificial chromosome, performance of our proposed modelwithan called action reconfiguration chromosome. GA is international standard FERETfacedatabase (ourusedtoexplore themosteffective classifier system produced synthesized FERETimages) andwe have structure foreachidentified datacontext category. achieved asuccess rate ofmorethan 92%. Theproposed methodadopts thenovelstrategy of context knowledge accumulation. Theknowledge of" @default.
- W2187627858 created "2016-06-24" @default.
- W2187627858 creator A5059580384 @default.
- W2187627858 date "2007-01-01" @default.
- W2187627858 modified "2023-09-27" @default.
- W2187627858 title "ANAPPROACH OFCONTEXT ONTOLOGY FORROBUSTFACERECOGNITION AGAINSTILLUMINATIONVARIATIONS" @default.
- W2187627858 hasPublicationYear "2007" @default.
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