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改进SIFT拼接算法的实现.docx

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改进SIFT拼接算法的实现 Title:ImprovingtheImplementationofSIFTStitchingAlgorithm Abstract: Imagestitchingisawidelyusedtechniqueincomputervisionapplications,includingpanoramicimageconstructionandvirtualreality.TheScale-InvariantFeatureTransform(SIFT)algorithmhasbecomeoneofthemostpopularmethodsforimagestitchingduetoitsrobustnessagainstvarioustransformationsandlightingconditions.However,theoriginalimplementationoftheSIFTalgorithmmayhavelimitationsintermsofcomputationefficiencyandaccuracy.ThispaperpresentsanimprovedimplementationoftheSIFTstitchingalgorithmthataddressesthesechallenges.Theproposedapproachincorporateskeyenhancements,includingparallelization,featurematchingrefinement,andstitchingoptimization,resultinginamoreefficientandaccurateimagestitchingprocess.ExperimentalresultsdemonstratetheeffectivenessoftheproposedenhancementsandthesuperiorityoftheimprovedSIFTstitchingalgorithmcomparedtotheoriginalimplementation. 1.Introduction 1.1Background Imagestitchingreferstotheprocessofcombiningmultipleimagesofthesamesceneintoalargerpanoramicimage.Thistechniquehasvariousapplications,suchasvirtualtourcreation,landscapephotography,andsurveillancesystems.TheSIFTalgorithmproposedbyLowein1999hasbecomeoneofthemostwidelyusedtechniquesforimagestitchingduetoitsabilitytoextractrobustanddistinctivefeaturesunderdifferenttransformationsandlightingconditions. 1.2Motivation TheoriginalimplementationoftheSIFTalgorithmsuffersfromlimitationsintermsofcomputationefficiencyandaccuracy.Withtheincreasingdemandforreal-timeimagestitching,itisnecessarytoimprovethealgorithm'sperformance.ThispaperaimstoaddressthesechallengesandpresentanimprovedimplementationoftheSIFTstitchingalgorithm. 2.RelatedWork ThissectionprovidesanoverviewoftheexistingSIFTstitchingalgorithmsandtheirlimitations.ItalsodiscussespreviouseffortstoimprovetheperformanceoftheSIFTalgorithm,includingparallelizationandfeaturematchingrefinementtechniques. 3.ProposedMethod 3.1Parallelization ToimprovethecomputationefficiencyoftheSIFTalgorithm,paralleliz