30629.點(diǎn)云數(shù)據(jù)的光順去噪與簡化技術(shù)的研究與實(shí)現(xiàn)

1、蘇州大學(xué)碩士學(xué)位論文點(diǎn)云數(shù)據(jù)的光順去噪與簡化技術(shù)的研究與實(shí)現(xiàn)姓名：杜小燕申請學(xué)位級別：碩士專業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：姜曉峰20090501AbstractResearchandImplement011theAlgorithmofPointCloudDenoisingandSimplificationResearchandImplementOiltheAlgorithmofPointCloudDenq“l(fā)ndSimplificatic

2、enolsinganOllllCatlonAbstractDuetorecentadvancesin3Dmeasurementandcomputertechnologyrealobjectboundarysurfacesareacquiredbymanymeans，andtheycanbedisposed，processed，analyzedandbeappliedThepointcloudsadoptedbymeasurementar

3、estudiedandusedcommonlyandanexcitingdomain3一DdigitalgeometryprocessisgestatedBasedonthereviewandanalysisofexistingresearchachievements，thePaDerproposesthemethodsforthedenoisingandsimplificationonthepointcloudThemainresea

4、rchandachievementsasfollows：ThePaperpresentsallimprovedbilateralfilterforpointclouddenoisingbasedonselfadaptiveneighborsFirstly，thebizarrenoiseisdeletebasedonselfadaptiveneighbors，thenweimprovedthebilateralfilteronrobust

5、andfeaturepreservationandtheselfadaptivekneighborimprovedthemethodefficiencyFormoreweevaluatetheimprovedopcratorbymethodnoiseandvisualizedresultiSgivenatlast，nlepaperpresentsacurvatureselfadaptivemixedmethodbasedongeomet

6、ryimageThemethodcombinedtheadvantagesofcurvaturesampleandrandomsample，andrealizedthestrategYbothondistanceandcurvatureruleWeachievedagoodcompromiseine銜ciencyandresultandthemethodCanbeusedinapplicationAUofthealgorithmspre

7、sentedabovehavebeenimplementedinaprototypicalsystemandtestedwithdataobtainedfromobjectsinrealworldResultsoftheseexamplesindicatethecoiTecnlessofthealgorithmsinthispaperKeywords：PointClouds，Smoothing，Denoising，BilateralFi