基于图象的绘制关键技术研究

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1、西北工业大学博士学位论文基于图象的绘制关键技术研究姓名：张汗灵申请学位级别：博士专业：信号与信息处理指导教师：郝重阳20031001，。．．。，。。。；；；；；；；；；；；；；；；；；；；；；；；；；；。。。．．．。。；；』92l!：{：；；；，。；。。；；；；；。。．．．．。．．。。。。，。。；；；；；；；；；；；；；；。。AbstractImageBasedRendering(IBR)techniqueshaverecentlyreceivedmuchattentionintheVirtualReality(VR)andGrap

2、hicscommunitybecauseoftheirpotentialtocreateveryrealisticimageonpopularhardwareplatform．Thedissertationaddressesthefollowingseveralkeytechniques：theimagemosaic，theimagemorphing，thesimulationbasedonimage，hybridrenderbasedongeometryandimage．1．Ontheresearchoftheautomatici

3、magemosaic，wepresentanewautomatedpanoramicmosaicalgorithmbasedonfeature．ThealgorithmsolvetheproblemhowtodecidetheCOC豫cientsoftheinitial．theweightedfunctionandthewidthofthetransitionzone．Thealgorithmcanbefinishedwithautomatinginmostcaseandsuitsforanyscaleimagewithunknow

4、nanyparameterofcamera．Mosaicimageissmoothandhasnogap．2．AnewimagemorphingalgorithmbasedonBezierfeaturecurveispresented，whichspecifiesmorphingfeatureusingBezierfeaturecurve．Comparedwithfield—basedimagemorphing，wecanspecifythefeaturemoreexactlyandthenumbersoffeatureprimit

5、ivearereduced．Fromexperimentalresults，thealgorithm’Sspeedistrebleimprovedgeneratingasmoothmorphingimage，comparingwithfield—basedimagemorphing．3．Aautomaticimagemorphingalgorithmbasedonwaveletedgedetectionispresented．Thealgorithmcallautomaticallyspecifymorphingfeature．Th

6、emethodmodifiesfield-basedimagemorphing，reducesthecomplexdegreeofmorphingalgorithmandacceleratesmorphing．Fromtheexperimentresults，thealgorithmcanautomaticallymetamorphoseimageandavoidthemosttediouspartofimagemorphing．4．Aautomaticimagemorphingalgorithmbasedonmodifyingac

7、tivecontourmodelispresent，whichautomaticallyspecifiesthefeaturepointwithmodifyingactivecontourmodel．Fromtheexperimentresultsshowthatthealgorithmreducestheburdenoffeaturespecificationandmetamorphosesautomatically．5．We、presentanewalgorithmoffacialexpressionanimationbased

8、onradialbasisfunctionnetworks．Thealgorithmusesradialbasisfunctionnetworkstoconstructthewarpfurtctionusingonlyasmallnu