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ID:36502816
大小:2.12 MB
页数:59页
时间:2019-05-11
《基于图像灰度的三维重构递推算法的研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、大连理工大学硕士学位论文基于图像灰度的三维重构递推算法的研究姓名:满臣申请学位级别:硕士专业:机械电子工程指导教师:李剑忠20051201满臣:基于图像灰度的三维重构递推算法的研究ResearchontheCumulationAlgorithmof3DReconstructionFromGray—levelImageAbstractAsakeyresearchdirectionofcomputervision-threedimensionpasswereconstructionbecomesmoreandmoreimpoaantsoasnotto
2、beignoredinthevariousareasofoursocietyandhasbeenwidelyusedinindustry,agriculture,countrydefense,medicine,spacetechnology,etc,especially.Duetoitsspecialfeature,whichcanrestore3dshapeinformationjustfromonegray—levelimage,recently,shapefromshading(SFS)getsgreatimprovedanddevelop
3、srapidlyinmethodologyandapplication,andbecomesanewresearchfocusof3dpassivereconstmction.OnthebaseofcomprehensivesummarizationandanalysisofcurrentSFSresearchwork,a3dreconstructiontechnologyfromgray—levelimagehasbeenproposedinthispaper.Withthequadranglecomposedoffournearestpixe
4、lsastheleastelement,asetofnonlinearequationscanbeobtainedfromtherelationshipbetweenthenormalandgrayoffourtriangularplanes;then,therelativelocationoffourcorrespondingpointofthesefourpixelscallbeacquiredfromthesolutionofthesenonlinearequationswiththenonlinearleastsquaremethod.B
5、ythisway,theprecisionoftheresultof3dreconstructionismainlydeterminedbytheresolutionofthisimageafteralltherelativepixels’locationsofthisobjectsurfacearefiguredoutthrou【ghacumulationalgorithm.Becausethisnewalgorithmdon’tadoptrigorassumptionsthatdon’tcorrespondtotherealnaturalco
6、nditionandunsuitableassumptionsthatsomepriorconditionhasknownasmosttraditionalSFSalgorithmsdo,itcangetmorepreciseanduniversal3Dreconstructionresult.Meanwhile,anewrenderingalgorithm-reversecalculationalgorithm-hasalsobeenpresentedbythecontrastbetweenthecurrentpopularrenderingm
7、ethod—GBR、IBR、PBRinthispaper,throulghwhichthecolorofeachpixelcanbefiguredoutunderthelightingmodelafterthecoordinatesandnormal,ofeverycorrespondingpointonthe3dobjectsurfacehavebeencalculatedfromthepixelsintherangewherethe3dobjectisprojectedontotheimagingplane,inordertoprovidee
8、achpixelarealcolorandgetanimagewiththestrongestfeelingofreality.Byth
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