实测三维点云数据的后期处理技术研究

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1、洳≥{≥～唼硕士学位论文沦丈题日塞捌三维点亟麴握的卮塑处理莛苤受窥作者姓名盐左造指导教帅型塞逛副堡筮虽所在学院一一—』i簋扭堂墼翅坚查堂塑圭堂垡照壅二=壅型三笙盛重塑塑鲍亘塑竺攫垫查婴篓AbstractRecently,withincreasingrequirementofacquiring3Dcomplexdigitalobjectsfromrealworldincomputergraphics，virtualreality,computervision，reverseengineeringandSOon，3Dsealmingtechnologyhavebeendevelop

2、edrapidly+Butforthereasonsofmeasurementerrors，orientationerrorsandviewportself-occlusion，wehavetosolvesomedifficultproblemssuchasnoiseremoving，holefillingmadoverlappedscannedpatehesregistrationforthescannedpointcloud．Inthisthesis，somesignificantpost—processingtechnologiesforrawscanneddataacq

3、uiredbv3Dhandheld1aserSCallrlerarediscussed．Thenwefocusonthetopicsofglobalconsistentnormalreconstructionfromtmorgalfized3Dpointcloudsandregistrationbetween3Dscannedpointpatches．InChapter2．weproposearobustnormalreconstructionalgorithmtorecoverthenomlalinformationfromthenoisy∞intcloud+Wefirstl

4、yremovetheoutliersbye蕊cienthierarchicalclustering．ThenanormalreconstructionalgorithmbasedonthehierarchicalclusteringiSdevelopedaccordingtothestatisticanalysisofthenoise．Furthermore。wegiveallevaluationcriterionofnormalreconstructiontoadaptivelyadjusttheparameterofhierarchicalclustering．Inexpe

5、rience，ouralgorithmgenerateshi出qualitynormalinformationefficiently．InChapter3，wepresentanovelregistrationalgorithmfor3Dpo遮tcloudpatchesbasedonCSRBEFirstly,wegenerateinitialcorrespondencesbetweenthepointsindifferentpatches．确enthecorrespondencesareoptimizedbyaphysicalbasedmethod。Lastly,wepropo

6、seanon—rigidregistrationmethodbasedonCSRBFwarping．Thecomputationofwarpingcanbeacceleratedbymulti-levelhierarchicalframework．ThealgorithmCallbefurtheracceleratedbyhierarchicalclustering。WeconcludethethesisanddiSCUSSsomeresearchdirectionsforourftLr诅1erworksinthelastchapter．KeyWords：DigitalGeom

7、etryProcessing，Point—SampledGeometry,3DScannedData,NormalReconstruction，AlignmentandRegistration一11—浙江大学硕士学位论文——实测三维点云数据的后期处理技术研究第一章绪论睫整嚣纂撬嚣彩学理论霹按拳豹发震，诗葬毫氇图形学已经在数字娱乐、工程设计‘、文物保护、辅助医疗、虚拟现实等学科和领域得到了广泛的成用。在廊用中，袭翻努须蓄先辩嚣关注的物体邈行三维凡俺建模。尽管嵇统的几何造型技术已经发展了多年，但