Computer and Modernization

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AnAugmentedRealityMethodBasedonSURFandGeographicGridModel

  

  1. (TianjinResearchInstituteforWaterTransportEngineering,M.O.T.,Tianjin300456,China)
  • Received:2018-02-27 Online:2018-07-05 Published:2018-07-05

Abstract: Imagerecognitionandmatchingisthefoundationandkeyofresearchandapplicationonthefieldofaugmentedreality.Accordingtothewideareaandrandomnessofoutdoorscenes,similarityoftargettexturestructure,anaugmentedrealitymethodbasedonSURFandgeographicgridmodelisproposed.ThemethodaccordingtothecorrelationbetweenthetargetsceneandthegeographicallocationdetectstheimagefeaturepointstogeneratetheLocation-SURFimagefeaturedescription,constructsthespatialfourforktreeindexbasedonthegeographicalgrid,andbuildsthestaticfeaturesampledatabase.Featureimagesaregeneratedbyvideoframe,locationandangleinformation,anduploadedtotheservertoparseoperations,andtrainedtomatchwiththesampledatabase.Testsresearchwhichgathers270piecesofimagedatatoconstructasampledatabaseisdoneintheNingboglobalnavigationsquareabout0.376km2.Onlinefeaturepointscanbematchedonlinethroughthereal-timecollectionandcalculationofspotimage,andtheaccuracyofmatchingupcanbeimprovedbyadjustingtheproportionofdistancethreshold.Amobileaugmentedrealitysystemisdevelopedbasedonthismethod,whichusesfourlayersoftechnologyarchitecturetorealizetheparallelizationoftheterminalcollection,displayandserveranalysisandcalculation,andachievesthefusioneffectoftherealsceneandthevirtualinformation.Theapplicationresultsshowthat:Thismethodcansolvetheproblemoflowmatchingofimagerecognitionincomplexenvironment,canquicklycompletethedetectionandextractionoffeaturepoints,caneffectivelycompletesampletrainingandmatching.Aswellasthismethodmakesausefulattempttoprovideaneffectivewayintheoutdoormobileaugmentedreality.

Key words: mobileaugmentedreality, imagerecognitionandmatching, featurepointdetection, geographicgrid

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