模式识别论文Pattern recognition.docx
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模式识别论文Pattern recognition.docx
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模式识别论文Patternrecognition
模式识别论文(Patternrecognition)
Facerecognitionbasedonsparserepresentation
Imagesparserepresentationoftheimageprocessingintheexergyisverysuitableforimagesparserepresentationoftheimageobtainedbydecompositionofgauge
Thecalculationsareenormous.UsingMPimplementationmethodbasedonimagesparsedecompositionalgorithmusinggeneticalgorithmforfastexergyprocess
Thebestatomisdecomposedateachstep.
Theproblemoffacerecognitionisaclassicalpatternrecognitionproblem.InrecentyearsbytheExergyTheoryofcompressedsensingbasedondiluteinspiredexergy
Sparserepresentationoffacerecognitiontechnologyhasbeenextensivelystudied.Facerecognitionbasedonsparserepresentationistheconstructionofwordsusingtrainingpictures
Thesparselinearcombinationcoefficientsandexergyexergycodebysolvinganunderdeterminedequationtoobtainthetestimagesaccordingtothesecoefficients
Theimagerecognitionclassification.
KeywordsimageprocessinginthesparserepresentationoftheMPwithinthegeneticalgorithmofsparsedecomposition
Face,recognition,via,sparse,representation
Abstract:
sparse,representation,of,images,is,very,suitable,,for,image,processing,
But,the,computational,burden,in,sparse,decomposition,process,image,is,huge,,A,new
Fast,algorithm,was,presented,based,on,Matching,Pursuit(MP),image,sparse
Decomposition.At,first,Genetic,Algorithms(GA),was,applied,to,effectively,search
In,the,dictionary,of,atoms,for,the,best,atom,at,each,,step,of,MP
Face,recognition,problem,is,a,classic,problem,of,pattern,,recognition.,In,recent
Years,inspired,by,the,theory,of,perception,is,compressed,sparse
Representation-based,face,recognition,technology,has,been,widely,studied.,Face
Recognition,based,on,sparse,representation,is,to,take,advantage,,of,the,training
Images,constructed,dictionary,owed,by,solving,a,the,most,,sparse,linear,combination
Coefficients,given,equation,to,obtain,the,test,images,then,these,coefficients,to
Identifyimageclassification.
Keywords:
imageprocessing;sparserepresentation;sparsedecomposition;
MatchingPursuit;GeneticAlgorithms
0Introductionthecurrentfacerecognitiontechnologyofrapiddevelopmentespeciallytheexergybased
Staticfacedetectionandrecognition,andfacefeatureextraction
Multifacerecognitionbasedonmultiposehasbeenachieved
Agreatdealofresearch.Buttheexergyexergyinmorecomplexenvironments
Suchasfacialexpressionrecognition,illuminationcompensationandGuangZhaomo
Theestablishmentofthemodel,thetreatmentofagechanges,andavarietyoftestingdata
Thereisalackofeffectivemethodsforfusion.
Facerecognitionincludesthreestepsinfacedetection
Measurement,facefeatureextraction,facerecognitionandverification.Thereare
Peopleonthis
Extensionoftheexergybasedontheabovethreesteps
OnExergyincreasedearlystandardization,andcorrectionandlaterpoints
Classandmanagementthesetwosteps.
Theresearchoffacerecognitionstartedinthelate1960s
L2].Hasexperienced40yearsofdevelopment.Roughlydividedintothree
Threestages:
Thefirststageistheinitialstagefrom60stotheendofexergy
Late80s.Themaintechniqueadoptedatthattimewasbase
Tosetthestructurecharacteristicsofthefacerecognitionmethodofexergyis
Asageneralpatternrecognitionproblemisstudied.generation
ThefiguresincludeBledsoe(Bledsoe)andGordonStein
(Goldstein),Harmon(Harmon),andKimWuHsiung
(KanadeTakeo)etal.Atthattimealmostallwereidentified
Theprocessreliesonmanualoperationandresultsinnoexergyintoveryimportantpracticalapplicationsinnotmanybasicallyno
Havepracticalapplication.
Thesecondstageisintheexplorationstagefrom70stoeight
Thetenage.Duringthisperiod,aswellasengineersinthesmoke
Leadneuroscientistsandpsychologiststothefield
Research.Theformerismainlythroughtheperceptionmechanismofthehumanbrain
Toexplorethepossibilityinautomaticfacerecognitionwhiletheorder
Sometheoreticalobtainedhassomedefectsandpartialnaturebutin
Engineeringtechniquesfordesignandimplementationofalgorithmsandsystems
Thepersonnelhavetheimportanttheoryinstructionsignificance.
Thethirdstageisthestageofrapiddevelopmentinthelastcenturyfromthenine
Fromthetentothepresent.Computervisionandpatternrecognitiontechnology
Intherapiddevelopmentofcomputerimageprocessingtechnologyanddrives
Therapiddevelopmentoffacerecognition.Governmentsarealsoheavilyfinanced
Inthestudyoffacerecognitionandachievedfruitfulresults.
Amongthem,EigenfaeeandFisherfaceisthismoment
Themostrepresentative,themostsignificantachievementsof
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