基于单视点视频的舰艇尾浪三维重建的开题报告.docx
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基于单视点视频的舰艇尾浪三维重建的开题报告.docx

基于单视点视频的舰艇尾浪三维重建的开题报告.docx

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基于单视点视频的舰艇尾浪三维重建的开题报告一、选题背景Withthedevelopmentofcomputervisiontechnology,3Dreconstructionhasbeenwidelyusedinvariousfields.Shipwakeisacomplexfluiddynamicphenomenon,whichhasimportantapplicationsinthefieldofnavalarchitecture,navigation,environmentalprotection,andmilitarycommunication.Therearecurrentlytwomainmethodsformeasuringtheshipwake:experimentalinvestigationandnumericalsimulation.However,thesemethodsareeithertime-consuming,expensive,ornotpracticalintheopensea.Therefore,afastandefficientautomaticshipwakereconstructionbasedonsingleviewpointvideohasbecomeanimportantresearchdirection.二、选题意义The3Dreconstructionofshipwakesbasedonsingleviewpointvideoscanprovidealargeamountofinformation,suchasthegeometricfeaturesofthewake,thevelocitydistribution,andthecalculationofthedragforce.Thisinformationcanbeusedforimprovingthedesignofships,optimizingroutes,reducingenergyconsumption,andpredictingtheimpactofshipsontheenvironment.Moreover,thismethodcansavealotofresourcesandtimecomparedtotraditionalmeasurementmethods.Therefore,ithasgreatsignificanceinpracticalapplications.三、研究方法Theproposedmethodmainlyincludesfoursteps:featureextraction,wakedetection,waketracking,and3Dreconstruction.Firstly,thefeatureextractionisconductedbasedontheopticalflowalgorithm,whichcanestimatetheapparentmotionofeachpixelbetweentwoconsecutiveframes.Secondly,thewakedetectionisconductedbyusingabackgroundsubtractionmethodtoobtainthebinarymaskofthewakeregion.Thirdly,waketrackingisperformedbyusingaKalmanfilteralgorithmtotrackthewakeregion'smotion.Finally,bycombiningthewakeregionsdetectionandtrackingdata,a3Dreconstructionoftheship'swakeiscompleted.四、研究难点The3Dreconstructionofthewakestructureandthetrackingofthewakeregionfromasingleviewpointvideoarechallengingduetothefollowingreasons:1.Thewakeregion'sshapeandsizearecontinuouslychanging,makingdetectionandtrackingdifficult.2.Thecomplexflowpattern,vortexstructures,andturbulenceinthewakeflowingintroduceconsiderablenoiseandcomplexities.3.Thelow-resolutionvideoobtainedi