基于前向运动视频的铁路线路全景图拼接算法分析

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1、ABSTRACTImagestitchingtechnologyisanattractivetopicofimageprocessing，computervisionandcomputergraphicsresearchfields．Itcallbeusedtocreateanimagethathashigh·resolution，largeviewingangle．Imagestitchingtechnologyhasbeenwidelyusedinmanyresearchfields，suchasremotesensing，virtualreal

2、ity,medicalimageprocessing，military,photogrammetry,etc．Inrecentyears，high-speedrailwayisgrowingrapidly．Withtheupgradingoftrainspeed，anylittleaccidentcouldleadtoabigconsequence．Thus，ithasbecomeallextremelyurgentissuetoensurethesafetyofhighspeedtrains．Currently,thetypicalsolution

3、istousediagnostictrain，wherethecamerawasmounted．Thetrainwillrunovertheentirelineeveryday,andthecamerawillrecordtheentirelineduringthetrainrunning．Inthedailypatrol，recordentirelinewilltakealotofstoragespace．Comparedwithvideo，panoramahasmanyadvantages，suchassmallerstoragespacereq

4、uirement，easilyforquickbrowsing．Thispaperproposedsomesolutionsfortheseproblems．ThemainworksofthisPaperare：1。Basedonprioriinformationofforwardmotionvideooftrains，weproposeaframeworkforpanoramaacquisition．Thisframeworkdividedforwardmotionvideosintofourplanes，whichareup，down，lefta

5、ndright，respectively．Eachplanegenerateapanorama．2．Fortheforwardmotionvideoswhichhaveapoorquality,weproposeafastimagestitchingmethod．ThismethodCanhandlethepoorqualityvideos，whichothermethodscannot．3．Fortheforwardmotionvideoswhichhaveagoodquality,weproposeanimagestitchingmethodba

6、sedonadaptivemanifolds．ThismethodCandealwiththevideoswhichhaveacomplexbackground．4．Basedonthepanoramaswecreatedbefore，wereconstructthesepanoramasin3Dspace，tosimulatetherealenvironmentoftrainrunning．ThisworkCanmakeaquickbrowsingoftheentirerailwayline．KEYWORDS：ImageStitching；High

7、-speedRailway；3DReconstruction；PanoramaCI。ASSNO：TP39】．41V目录摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．iiiABSTRACT⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．iv1绪{仑⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．11．1课题的研究背景和意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．2国内外研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯41．3本文工作总体框架⋯⋯⋯⋯

8、⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯61．4本文主要工作和章节安排⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯82全景