面向大规模渲染的复杂场景数据组织方法分析

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1、万方数据山东大学硕士学位论文ABSTRACTToday,realisticrenderingisgettingmoreandmorewidelyusedinfilm，animation，advertisingandotherindustries．Withthecomputersoftwareandhardwareperformanceboost，weneedmoreateffectandspeedofrealisticrendering．Recentyears，谢tllphysicallylimitationofdevelopmentofCPU，parallelcomp

2、utingprogressrapidly,large—scalerenderingisgoingonitstime．Forexample，moviespends72hoursforsingleframe，16000yearsareneededforthewholeperiod诵tllsinglecore．However,parallel-renderingcutdownit,wetastudiospendseveralmonthswith35000computingCOre，4000work-station．Fromstorageofdata,after

3、meshcreated，itcannotberendereddirectly,becausethesemeshesisorganizedbyspecificsoftware，forexample，somesoftwaretakeaccountoperationsofmodelingworkers．However，whenweneedtorenderthesemeshes，wecannotrelyonthesedata．Itaffectsitscompatible．So，weneedaunifiedrenderingdata,andweprovideplugillSfor

4、modelingsoftwaretoexportstandarddataforus．Accordingtolargescaleparallelrendering，wegetsomeproblemsinefficacy,includemultipleframeswitllcomplexsceneproducealargeamountofdata,mainlyingeometry；secondcomesabignumberofsmallfiles．Throughtheworkofthispaper,thenormalizeddataorganizationmethodcan

5、reducetheamountofdataoutputandreduceinsideandoutsidestorageschedulingin-theparallelrendering．Forcomplexsceneswitllalargenumberofgeometry,andageometryhasamaterial，wewilldivideitinto2part，oneforgeometryandanotherforshader．1．Problemsingeometrydatainscene：Asmid-datadescribealltheinformationo

6、fgeometrythatincludelightsourceandmeshes，SO，ithassomethingtodowithcomplexofscene．Forexample．ascenetakes1GBwitll1000geometrieseachofwhichtakes1MB．Moreover,ifwerenderananimation，30frameasecond，only10Ill万方数据山东大学硕士学位论文minutestakes300GB．Idispatchdataofgeometryandcoordinatetransformation，andke

7、epallthereduplicationsinafile，SOmassofdataiscutdown．2．Materials：Aftercutdowntheoutputdataofgeometry,thewayofloadingdataaffecttheefficacyatthesametime．Asmanykindsofmaterialsthatinclude300shadersinascenewith1000geometryexist，moreover，everyshaderofmaterialsseemtobesmalltOten