简介：Face-to-faceVideoconferencingisapopularoptionformanylargeorganizationsbecauseitminimizestheneedfortravel.Insteadofcontinuallypayingfortravelingexpenses,acompanycaneitherpaytosetupahighspeednetworkwhichhasmanyusages(includingvideoconferencing)ortheycanrenttimeonanexistingnetwork.Employeeswillalsonolongerbeburdenedwiththeneedtotravel.Whileface-to-facevideoconferencingperformanceisheavilyinfluencedbytheunderlyinghardwareandsoftware,agoodvideocompressionschemecanhelpmakethebestuseofvideoconferencingandprovideahighqualitypicture.H.263standardisnowwidelyusedforreal-timevideocommunicationsoverarangeofnetworksincludingtheInternet.AframeworkforbetterunderstandingtheH.263includingtheimplementationofencoderanddecoderforface-to-facevideoconferencingispresented.ThissoftwarewaswritteninC++language,runningundertheMicrosoftWindowsoperatingsystem.

简介：Inthispaper,weproposeafacerecognitionapproach-StructedSparseRepresentation-basedclassificationwhenthemeasurementofthetestsampleislessthanthenumbertrainingsamplesofeachsubject.Whenthisconditionisnotsatisfied,weexploitNearestSubspaceapproachtoclassifythetestsample.Inordertoadaptallthecases,wecombinethetwoapproachestoanadaptiveclassificationmethod-Adaptiveapproach.TheadaptiveapproachyieldsgreaterrecognitionaccuracythantheSRCapproachandCRC_RLSapproachwithlowsamplerateontheExtendYaleBdataset.Anditismoreefficientthanothertwoapproaches.

简介：Compactlysupportedradialbasisfunctioncanenablethecoefficientmatrixofsolvingweighlinearsystemtohaveasparsebandedstructure,therebyreducingthecomplexityofthealgorithm.Firstly,basedonthecompactlysupportedradialbasisfunction,thepapermakesthecomplexquadraticfunction(Multiquadric,MQforshort)tobetransformedandproposesaclassofcompactlysupportedMQfunction.Secondly,thepaperdescribesamethodthatinterpolatesdiscretemotioncapturedatatosolvethemotionvectorsoftheinterpolationpointsandtheyareusedinfacialexpressionreconstruction.Finally,accordingtothischaracteristicoftheunevendistributionofthefacemarkers,themarkersarenumberedandgroupedinaccordancewiththedensitylevel,andthenbeinterpolatedinlinewitheachgroup.Theapproachnotonlyensurestheaccuracyofthedeformationoffacelocalareaandsmoothness,butalsoreducesthetimecomplexityofcomputing.