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《PAIGE = PAirwise Image Geometry Encoding for Improved Efficiency in Structure-From-Motion (CVPR 2015)》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。
1、PAIGE:PAirwiseImageGeometryEncodingforImprovedEfficiencyinStructure-from-MotionJohannesL.Schonberger,AlexanderC.Berg,Jan-MichaelFrahm¨DepartmentofComputerScience,TheUniversityofNorthCarolinaatChapelHillfjsch,aberg,jmfg@cs.unc.eduAbstractconnectionsacrosstheentirescene.Howeve
2、r,exhaus-tivelysearchingfortheseoverlappingpairsisinfeasibleLarge-scaleStructure-from-Motionsystemstypicallyforlarge-scaleimagecollectionsduetoquadraticcompu-spendmajorcomputationaleffortonpairwiseimagematch-tationalcomplexityinthenumberofimagesandfeatures.ingandgeometricve
3、rificationinordertodiscovercon-Moreover,asthenumberofregisteredimagesgrows,thenectedcomponentsinlarge-scale,unorderedimagecollec-scalabilityofbundle-adjustmentalgorithmsbecomesasig-tions.Inrecentyears,theresearchcommunityhasspentnificantperformancebottleneck.significantefforto
4、nimprovingtheefficiencyofthisstage.ThispaperevaluatesexistingtechniquesforreducingtheInthispaper,wepresentacomprehensiveoverviewofcostofStages2and3,featurematchingandgeometricvariousstate-of-the-artmethods,evaluatingandanalyzingverification.Usually,themajorityofimagepairsinun
5、-theirperformance.Basedontheinsightsofthisevalua-orderedInternetphoto-collectionsdonothavesceneover-tion,weproposealearning-basedapproach,thePAirwiselap,sorejectingthosepairsdominatesexecutiontime,evenImageGeometryEncoding(PAIGE),toefficientlyidentifythoughsuchpairsarenotuse
6、fulfor3Dreconstruction.Con-imagepairswithsceneoverlapwithouttheneedtoper-sequently,variousapproacheshavebeenproposedtoeffi-formexhaustiveputativematchingandgeometricverifica-cientlyfindoverlappingpairsinnoisydatasetsandonlyfor-tion.PAIGEachievesstate-of-the-artperformanceandin
7、-wardthosepairstoStages2and3.AdownsideofsendingtegrateswellintoexistingStructure-from-Motionpipelines.fewerimagepairstoStages2and3isthatenoughimageswithoverlappinggeometrymustbeprocessedtoproduceaccuratecameraalignmentandcompletereconstructions.Hence,itisessentialtofindtheri
8、ghttrade-offbetweencom-1.Introductionputationalefficiencyandsufficientimageconnectiv
