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ConstructingRulesandSchedulingTechnologyfor3DBuildingModels
ZhengweiSUI,LunWU,JingnongWENG,XingLIN,XiaoluJI
Abstract
3Dmodelshavebecomeimportantformofgeographicdatabeyondconventional2Dgeospatialdata.Buildingsareimportantmarksforhumantoidentifytheirenvironments,becausetheyareclosewithhumanlife,particularlyintheurbanareas.Geographicinformationcanbeexpressedinamoreintuitiveandeffectivemannerwitharchitecturalmodelsbeingmodeledandvisualizedinavirtual3Denvironment.Architecturalmodeldatafeatureswithhugedatavolume,highcomplexity,non-uniformrulesandsoon.Hence,thecostofconstructinglarge-scalescenesishigh.Meanwhile,computersarelackofprocessingcapacityuponalargenumberofmodeldata.Therefore,resolvingtheconflictsbetweenlimitedprocessingcapacityofcomputerandmassivedataofmodelisvaluable.Byinvestigatingthecharacteristicsofbuildingsandtheregularchangesofviewpointinvirtual3Denvironment,thisarticleintroducesseveralconstructingrulesandschedulingtechniquesfor3Dconstructingofbuildings,aimingatthereductionofdatavolumeandcomplexityofmodelandthusimprovingcomputers’efficiencyatschedulinglargeamountofarchitecturalmodels.Inordertoevaluatetheefficiencyofproposedconstructingrulesandschedulingtechnologylistedintheabovetext,theauthorscarryoutacasestudyby3DconstructingthecampusofPekingUniversityusingtheproposedmethodandthetraditionalmethod.Thetworesultsarethenexaminedandcomparedfromaspectsofmodeldatavolume,modelfactuality,speedofmodelloading,averagerespondingtimeduringvisualization,compatibilityandreusabilityin3Dgeo-visualizationplatforms:ChinaStar,oneChina’sownplatformfor3DglobalGISmanufacturedbytheauthorsofthispaper.Theresultofcomparisonrevealsthatmodelsbuiltbytheproposedmethodsaremuchbetterthanthosebuiltusingtraditionalmethods.Fortheconstructingofbuildingobjectsinlarge-scalescenes,theproposedmethodscannotonlyreducethecomplexityandamountofmodeldataremarkably,butcanalsoimprovingcomputers’efficiency.
Keywords:Constructingrules,Modelscheduling,3Dbuildings
I.INTRODUCTION
Inrecentyears,withthedevelopmentof3DGIS(GeographicalInformationSystem)softwarelikeGoogleEarth,Skyline,NASAWorldWind,large-scale3Dbuildingmodelswithregionalcharacteristicshavebecomeimportantformofgeographicdatabeyondconventional2Dgeospatialdata,likemulti-resolutionremotesensingimagesandvectordata[1].Comparedtotraditional2Drepresentation,geographicinformationcanbeexpressedinamoreintuitiveandeffectivemannerwitharchitecturalmodelsbeingmodeledandvisualizedinavirtual3Denvironment.3Drepresentationandvisualizationprovidesbettervisualeffectandvividurbangeographicinformation,andthusplaysanimportantroleinpeople'sperceptionsoftheirenvironment.Meanwhile,the3Dbuildingdataisalsoofgreatsignificancefortheconstructionofdigitalcities.
Buthowtoefficientlyvisualizethousandsof3Dbuildingmodelsinavirtual3Denvironmentisnotatrivialquestion.Themostdifficultpartofthequestionistheconflictsbetweenlimitedprocessingcapacityofcomputerandmassivevolumeofmodeldata,particularlyintheprocedureofmodelrendering.Takingthe3Dmodelingofacityfortheexampleusingtraditional3Dmodelingmethod,supposethereare100000buildingstomodelintheurbanareaandtheaveragesizeofmodeldataforeachbuildingisroughly10M.SothetotaldatavolumeofbuildingmodelsinthecitycouldreachaTBlevel.However,thecapacityofordinarycomputermemoryisonlyintheGBscale.Basedonthisconcern,theauthorsproposedtheschedulingtechnologyforlarge-scale3Dbuildingsmodelsinaspectsofmodelloadingandrendering.Duetothelackofbuildingconstructingrulesandstandard,modelsofbuildingsvaryinaspectsofconstructingmethods,texturescollectionandmodeldatavolume,especiallyinaspectsofmodelreusabilityandfactuality.Suchalargeamountofdatawithoutuniformconstructingrulesbecomesahugechallengefordatastorage,processingandvisualizationincomputers.Italsobringstheproblemofincompatibilityamongdifferent3DGISsystems.
AfteryearsofresearchinGIS(GeographicInformationSystem),peoplehaveaccumulatedanumberofwaystosolvetheaboveproblems[3].Howeverinvirtual3Denvironment,becauseofthedifferenceindataorganizationandmannersofhumancomputerinteraction(HCI),weneedtoapplyanewstandardizedmethodofmodelingandschedulingfor3Dmodels.Atpresent,thereisnosuchauniformmethodastheconstructingspecificationorstandardforthemodelingof3Dbuildings.Existingapproachesareinsufficientandinefficientintheschedulingoflarge-scalebuildingmodels,resultinginpoorperformanceorlargememoryoccupancy.Inresponsetosuchquestions,theauthorsproposedanewmethodfortheconstructionof3Dbuildingmodels.Modelsbuiltusingtheproposedmethodscouldbemuchbetterthanthosebuiltusingtraditionalmethods.Forthe3Dmodelingofbuildingobjectsinscenesoflargescale,theproposedmethodscannotonlyremarkablyreducethecomplexityandamountofmodeldata,butcanalsoimprovingthereusabilityandfactualityofmodels.Concerningtheschedulingoflarge-scalebuildingmodels,theModelLoadingJudgmentAlgorithm(MLJA)proposedinthispapercouldsolvetheoptimaljudgmentproblemofmodelloadingin3Dvisioncone,particularlyincircumstancewithuncertainuserinteractions.
Thispaperfirstexaminesandanalyzesexistingproblemsinconstructingandschedulingstepsof3Dbuildingmodels.Thentheauthorsproposeasetofconstructingrulesfor3Dbuildingmodelstogetherwithmethodsofmodeloptimization.Besides,specialschedulingtechnologyandoptimizationmethodformodelrenderingisalsoappliedinthispaperforlarge-scale3Dbuildingmodels.Inordertoevaluatetheefficiencyofproposedrulesandmethods,acasestudyisundertakenbyconstructinga3DmodelforthemaincampusofPekingUniversityandShenzhenusingboththeproposedmethodandthetraditionalmethodrespectively.Thetworesulting3DmodelsofPekingUniversitycampusandShenzhenarethenexaminedandcomparedwithoneotherinaspectsofmodeldatavolume,modelfactuality,speedofmodelloading,averagerespondingtimeduringvisualization,compatibilityandreusabilityinvarious3Dgeo-visualizationplatformslikeChinaStar(oneChina’sownplatformfor3DglobalGISmanufacturedbytheauthors),Skyline,etc.Resultofcomparisontellsthatprovidedsimilarfactualityofmodels,usingtheproposedmethodofus,thedatavolumeofmodelswasreducedby86%;thespeedofmodelloadingwasincreasedby70%;theaveragerespondingtimeofmodelduringvisualizationandinteractionspeedwasreducedby83%.Meanwhile,thecompatibilityandreusabilityof3Dmodeldataarealsoimprovediftheyareconstructedusingourapproach.
II.MODELINGRULESOF3DBUILDINGS
3Dsceneisthebestformofvisualizationfordigitalcitysystems.Whileconstructing3Dmodelsforbuildingsobjects,propermethodsandrulesshouldbeused,whicharemadewithfullconcernsofthecharacteristicsof3Dbuildingmodels[2].Theresultingmodelsshouldberobust,reusableandsuitableenoughfortransmissionovercomputernetwork,andshouldatthesametimebeautomaticallyadaptedtosystemcapability.
Generallyspeaking,methodsofconstructing3Dbuildingmodelscanbeclassifiedintothreetypes:wireframemodeling,surfacemodelingandsolidmodeling.Innormalcircumstances,tomodelbuildingsin3Dformat,theframeworkofbuildingshouldbeconstructedfirstaccordingtothecontourfeatures,numberoffloors,floorheight,aerialphotographandliveactionphotosofbuildings.Then,gatherthecharacteristicsofscenethatthebuildingstomodelarerepresenting.Importantcharacteristicsincludebuildingsaerialphotographorliveactionshootingphotos.Finally,mapthegatheredtexturetomodelframework,optimizethemodelandcreatedatabaseofthe3Dbuildingmodels.
Althoughtherehavealreadybeenmanyapproachesfortheconstructionof3Dbuildingmodels,aunifiedmodelingmethodandrulesarestillneededtoimprovetheefficiency,quality,facilitatechecking,reusabilityandarchivingofconstructedmodels.Byinvestigatingthecharacteristicsofbuildings,wefoundthatbuildingshaveregulargeometricsolidformodeling,similartextureonthesurfacesofdifferentdirections,highsimilarityinsmall-scalemodelsofbuildings,etc.Accordingtothese,thisarticlegivesadiscussiononthemodelingrulesfromthreeaspects,includingconstructingrulesofthe3Dbuildingmodels,texturemappingrulesof3Dbuildingmodelsandoptimizationmethodforconstructedmodelsbasedonmentionedconstructingrules.
A.Constructingrulesofthe3Dbuildingmodels
The3Dbuildingmodelingreferstotheprocedureofrepresentingtruebuildingsfromtherealworldintocomputerintheformof3Dobjects[4].Humanbeings,asthecreatorandatthesametimepotentialusersofmodels,playakeyroleinthisprocedure.Peoplearedifferentfromeachotherintheunderstandingofthebuildingobjects,methodsofmodelingandthesoftwaretoolstheyuseformodeling.Suchdifferencesamongpeoplewhocarryoutmodelingworkatthesametimeleadtothe3Dmodelsofdiversequalityandlowefficiency.Sothe3Dbuildingconstructingrulesproposedinthisarticlebecomenecessaryandhelpfultosolvetheaboveproblems.
1)Combinesimilarfloorsasawholeandkeeptheroofindependent
2)Sharesimilarmodelsandprocessthedetailsespecially
3)Constructingintheunitofmeters
4)Definecentralpointofthemodel
5)Unifiedmodelcodes
6)Reducenumberofsurfacesinasinglemodel
7)Reducecombinationofthemodels
8)Rationalsplitofmodels
B.Texturemappingrulesof3Dbuildings
Basedontheframeworkof3Dmodels,weneedtoattachthesemodelswithpropertexturestocreateabettervisualizationeffectfor3Dbuildings.Thequalityoftexturemappinghasadirectimpactonthevisualeffectofthescenewhilingbeingrendered[5].Sincethegraphicscardofcomputerwillloadallthetexturestogetherwhenrenderingamodel,texturemappingrulesandthequalityofthetexturemappingcandirectlyinfluencetheefficiencyofrenderingaswell.
C.Optimizationofmodelsbasedonconstructingrules
Basedonconstructingrulesandthecharacteristicsof3Dbuildingmodels,theauthorsdevelopasoftwaretooltooptimizethe3Dbuildingmodelsautomatically.Theoptimizationsimplementedinthesoftwaretoolcontainthedeletionofmodels’internaltextures,mergingadjacentvertices/lines/surfaces,removingun-mappedframeworkandsoon.Besides,thesoftwarecanenhancetheshapeofthewholemodel,texturepositionandmodelfacticityintheprocedureofmodeloptimization.
III.SCHEDULINGTECHNOLOGYOFLARGE-SCALE3DBUILDINGMODELS
Forthe3Dvisualizationoflarge-scalearchitecturalmodels,aseriesofmeasurescouldbeappliedtoensuretheefficientrenderingofmodels.Importantmeasuresincludesthesceneorganization,visionconecutting,eliminationoftexturesonthebacksideofmodels,Shaderoptimization,LODAlgorithm,mathlibraryoptimization,memoryallocationoptimization,etc..
Howtodisplaythousandsof3Dcitybuildings’modelsinavirtual3Denvironmentisnottrivial.Themainproblemistheschedulingofmodels[7].Itdetermineswhenandwhichmodelstobeloaded.Thisproblemcanbedividedintotwosmallerproblems:Findvisiblespatialregionofmodelsin3Denvironment,andoptimizationmethodofmodelrenderingefficiency.
A.Findvisiblespatialregionofmodelsin3Denvironment
Accordingtooperatingmechanismofcomputersduring3Dvisualizationandthecharacteristicsoflarge-scale3Dscene,weneedtodeterminethepositionofcurrentviewpointfirstbeforeloadingsignalmodelsorurban-unitmodels.Theninresponsetotheregularchangesofviewpointinvirtual3Denvironment,thesystemwillpreloadthe3Dmodeldataintomemoryautomatically.Inthisway,frequentIOoperationscanbereducedandthusoverallefficiencyofsystemgetsimproved.AnewalgorithmnamedMLJA(ModelLoadingJudgmentAlgorithm)isproposedinthispaperinordertofindoutvisibleregionofmodelsinthe3Denvironment.Thealgorithmintegratesthegraticulesandelevationinformationtodeterminethecurrentviewpointofusersinthe3Dspace.Andwiththemovementofviewpoint,thealgorithmschedulestheloadingofmodelcorrespondinglyandefficiently.
B.Optimizationmethodofmodelrenderingefficiency
Theschedulingmethodoflarge-scale3Dbuildingmodelsproposedaboveisaneffectivewaytosolvetheproblemcausedthecontradictionbetweenlargemodeldatavolumeandlimitedcapacityofcomputers.Accordingtothealgorithm,wecanavoidloadingthewholelarge-scale3Dbuildingmodelsatonetimeforthesakeoflimitedcomputermemory,andthenimprovesystemefficiencyintheprocedureofmodelloadingandabandoning.DuetothelimitedcapacityofGPUandlocalvideomemory,weneedafurtherresearchonhowtodisplaytheloadedmodeldatainmoreefficientmanner.Intheremainingpartofthispaper,theauthorswillcontinuetointroduceseveralmethodsontheoptimizationofmodelrenderinginthevisioncone.
1)Eliminationoftexturesonthebacksideofmodels
Thebacksideofthe3Dmodelisinvisibletotheusers.Ifweomitthetexturemappingforthe3Dmodelonthebackside,theprocessingloadofgraphiccardwillbereducedasmuchasatleast50%.Besides,accordingtoaninvestigationonprocedureofactualmodelrendering,theauthorsfoundthatonthebacksideofthe3Dmodel,theinvisibletextureisrenderedinacounter-clockwisemanneragainstthedirectionofeyesight,whilethevisibletexturemappingisrenderedinclockwisemanner.Sowecanomittherenderingofmodelswhichisintendedtoberenderedincounterclockwisemanner.Therefore,thetextureswon’texistonthebackof3Dmodels.Thegraphiccardcouldthenworkmorerapidlyandefficiently.
2)Eliminatetheshieldedmodel
Bycalculatingthegeometricrelationshipbetween3Dmodelsinthescene,theshieldedmodelscanbeomittedwhiledisplayingthescenewithappropriateshieldingpatches.Throughthisway,wecaneffectivelyreducetheusageofgraphicscardmemory,andthusachievehigherrenderingefficiencyandfaster3Dvirtualsystem.
Inthevirtual3Dgeographicinformationsystem,weoftenobserve3Dmodelsfromahighaltitude.Itisespeciallytrueforlarge-scaleoutdoor3Dmodels.Theusualarrangementof3Dbuildingmodelsarealwayssparse,howevertherealblockisverysmall.Therefore,establishinganindexforvisualcontrol,whichissimilartotheBSPtree,doesn’tamounttomuch.ThroughcarefullystudyingDirectX,wefoundthatwecantakeadvantageofthelatestZ-bufferingtechnologyofDirectXtoimplementtheshieldingcontrolofmodels.
3)OptimizationmethodoftheShaderinstructions
Inshader3.0technology,SM(ShaderModel)isamodelwhichcanoptimizetherenderingengine.A3Dsceneusuallycontainsseveralshaders.Amongtheseshaders,somedealwiththesurfacesandskeletonsofbuildings,andothersdealwiththetextureof3Dbuildingmodels.
Geometrycanbehandledquicklybyshaderbatchprocess.Theshadercancombinesimilarculminationin3Dbuildingmodels,dealwiththecorrelationoperationofasinglevertex,determinethephysicalshapeofthemodel,linkthepoint,line,triangleandotherpolygonsforarapidprocessingwhilecreatenewpolygons,etc.WecanassignthecomputingtasktoshaderandlocalvideomemorydirectlyinaveryshorttimewithoutbotheringtheCPU.Inthiscase,visualeffectsofsmoke,explosionsandotherspecialeffectsandcomplexgraphicsarenolongernecessarytobeprocessedbytheCPUofcomputer.SuchfeaturesofshadercanspeedupboththeCPUandgraphiccardinprocessinghugeamountof3Dmodels.
4)LODalgorithmoflarge-scale3Dscene
LOD(LevelofDetail)isacommonandeffectivesolutiontoresolvetheconflictsbetweenrealtimevisualizationandtheauthenticityofmodels[8].ByinvestigatingthemainfeaturesandtypicalalgorithmsofLODtechnology,theauthorsproposedanewstructurefordynamicmulti-leveldisplay.Thisstructuren
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