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1、VideoStabilizationwithaDepthCameraShuaichengLiu1YintingWang1,2∗LuYuan3JiajunBu2PingTan1JianSun31NationalUniversityofSingapore2ZhejiangUniversity3MicrosoftResearchAsiaAbstracttheKinectcameraarecheap,compactandwidelyavailableinthemarket.ThisadditionaldepthinformationprovidesPreviousvi
2、deostabilizationmethodsoftenemployho-videostabilizationwithamuchrobustsolutionincameramographiestomodeltransitionsbetweenconsecutivemotionestimationandframewarping.Sincewehavedepthframes,orrequirerobustlongfeaturetracks.However,information,wecanestimateanaccuratecameraposeforthehomo
3、graphymodelisinvalidforsceneswithsignifican-eachframebyonlyperformingmotionestimationbetweentdepthvariations,andfeaturepointtrackingisfragileineverytwoconsecutiveframes.Thus,ourmethoddoesnotvideoswithtexturelessobjects,severeocclusionorcamerarelyonfragilefeaturetracking,orstructure-f
4、rom-motional-rotation.Toaddressthesechallengingcases,weproposegorithms[7].Accordingtoourknowledge,thisisthefirsttosolvevideostabilizationwithanadditionaldepthsen-toexploitdepthsensorsforvideostabilization.sorsuchastheKinectcamera.ThoughthedepthimageSincethedepthmeasurefromsensors(e.g
5、.,Kinect)isisnoisy,incompleteandlowresolution,itfacilitatesbothnoisy,incompleteandlowresolutionateachframe,direct-cameramotionestimationandframewarping,whichmakelyapplyingdepthforstabilizationisnontrivial.Toachievethevideostabilizationamuchwellposedproblem.Theex-thisgoal,wefirstcombi
6、necoloranddepthimagestorobust-perimentsdemonstratetheeffectivenessofouralgorithm.lycompute3Dcameramotion.Wematchcorresponding2Dfeaturepointsbetweentwoneighboringframes,anduse1.Introductiontheirdepthstoestimaterelativecameramotion.Wethensmooththerecovered3Dcameratrajectoriesfollowing
7、cin-Videoscapturedbyahandheldcameraoftensufferfromematographyprinciples[6],whichremovesbothhighfre-seriousframejitters,whichisthemostobviousdifferencequencycamerajittersandlowfrequencyshakes.Sincethefromprofessionalvideos.Videostabilizationtechniquesdepthmeasureisincomplete,thenovel
8、videoframescannotca