简介:排水量操作员是一重要、静止在地图归纳的一个热话题。在归纳产品,符号一定不含糊、容易察觉、容易地听说,它在特征之中做空格竞争在地图的进程的一个重要障碍反对排水量。通过繁殖过程,在目标之间的空间冲突可以被散布,更多的目标可以漂流进它。为了维持符号,在符号的对象,一些不重要的符号或部分之间的平衡和空间关系应该根据视觉图形的分辨率阀值在限制下面被弄歪在地图特征之中弄明白空格竞争。包括位置,易读性和特征的三限制为符号平衡和空间关系的维护是重要的,它在这篇论文被讨论。骨骼被介绍表示区域目标考虑特征,一个区域目标能在被分开到在构造根据他们的重要性分开教主的联盟者。然后,有限元素方法被用于地图目标的排水量和失真,为有限元素方法的参数的策略在被讨论。
简介:SpatialobjectandspatialrelationshiparetwobasicconceptsofGIS.Spatialobjectisthedigitalrepresentationofgeographicalentityorphenomenon,whichformsthebasisfordatamanagementandanalysis;spatialrelationshipistheconnexionbetweenspatialobjectswhengeometricpropertiesareconsidered.Thecommonlyusedclassificationofspatialobjectsaspoints,linesandareasismathe-maticallystrict,andsuitablefordatamanagement,butabittoogeneralizedforrepresentingrealentitiesandextractingspatialrelationships.Agoodclassificationmodelshouldnotonlybegoodforrepresentingrealentities,butalsogoodforre-vealingspatialrelationships,thereforegoodforformalizingspatialanalyses.
简介:Thispaperpresentsanovelmethodforoverlappingortouchingblobobject(particles)segmentation.Itisbasedonthewatershedtransformation,oneofthemostpowerfulimageanalysistoolsprovidedbymathematicalmorphology,Inthismethod.wefirstbuildthedistancefunictionoftheblobimage,andthenextracttheregionalminimaasmarkers,andfinallythewatershedtransformationisperformed.Theapplicationsofthisalgorithmillustratedusingexamplesofredbloodcellsegmentationandbrokenmedicinepilldetection.
简介:Thedetectordescriptiondatabase,theeventdatastructure,theconditiondatabaseareallexamples(amongothers)ofcomplexcollectionsofobjectswhichneedtobeunambiguouslyidentified,notonlyinternallytotheirownmanagementstructure.butalsofromonecollectiontotheother.Therequirementsforsuchanidentificationschemeincludethemanagementofidentifiersindividuallyattachedtoeachcollectedobject,thepossibilitytoformallyspectifytheseidentifiers(egthroughdictionaries),togenerateoptimisedandcompactrepresentationsfortheseidentifiersandtobeabletousethemassortingandsearchingkeys.wepresentherethegenerictoolkitdevelopedinthecontextoftheAtlasexperimenttoprimarilyprovidetheidentificationofthereadoutelementsofthedetector.Thistoolkitoffersseveraleithergenericorspecializedcomponentsuchas:anXMLbaseddictionarywithwhichtheformalspecificationofaparticularobjectcollectionisexpressed,asetofvariousbinaryrepresentationsforidentifierobjects(offeringvariouslevelofcompaction),rangeoperatorsmeanttomanipulaterangesofidentifiers,andfinallyacollectionmanagersimilartotheSTLmapbutoptimisedforanorganizationkeyedbyIdentifiers.Allthesecomponentseasilyinteroperate.InParticulartheIdentifierdidctionaryoffersmeansofspecifyingpermittedcardinalitiesofobjectsateachlevelofthehierarchy,ThiscanthenbetranslatedintoIdentifierRangesorcanbeusedasthestrategydriverforhighcompactificationoftheidentifiers(e.g.tostoreverylargenumberofidentifiedobjects).Currentuseofthistoolkitwithinthedetectordescriptionwillbepresented,andexpectedorpossibleotherusageswillbediscussed.
简介:Thispaperpresentsanewclassofsurfacesthatgivetwoquitedifferentappearanceswhentheyareseenfromtwospecialviewpoints.Theinconsistentappearancescanbeperceivedbysimultaneouslyviewingthemdirectlyandinamirror.Thisphenomenonisanewtypeofopticalillusion,andwehavenameditthe"ambiguouscylinderillusion",becauseitistypicallygeneratedbycylindricalsurfaces.Weconsiderwhythisillusionarises,andwepresentamathematicalmethodfordesigningambiguouscylinders.
简介:SimilarityforspatialdirectionsplaysanimportantroleinGIS.Inthispaper,theconventionalapproachesareanalyzed.Basedonrasterdataarealobjects,theauthorsproposetwonewmethodsformeasuringsimilarityamongspatialdirections.Oneistomeasurethesimilarityamongspatialdirectionsbasedonthefeaturesofrasterdataandthechangesofdistancesbetweenspatialobjects,theotheristomeasurethesimilarityamongspatialdirectionsaccordingtothevariationofeachrastercellcentroidangle.Thetwomethodsovercomethecomplexityofmeasuringsimilarityamongspatialdirectionswithdirectionmatrixmodelandsolvethelimitationofsmallchangesindirection.Thetwomethodsaresimpleandhavebroaderapplicability.
简介:Directionisacommonspatialconceptthatisusedinourdailylife.Itisfrequentlyusedasaselectionconditioninspatialqueries.Asaresult,itisimportantforspatialdatabasestoprovideamechanismformodelingandprocessingdirectionqueriesandreasoning.Dependingonthedirectionrelationmatrix,aninverteddirectionrelationmatrixandtheconceptofdirectionpre-dominanceareproposedtoimprovethedetectionofdirectionrelationbetweenobjects.Directionpredicatesofspatialsystemsarealsoextended.Thesetechniquescanimprovetheveracityofdirectionqueriesandreasoning.Experimentsshowexcellentefficiencyandperformanceinviewofdirectionqueries.
简介:ToimprovethecurrentGISfunctionsindescribinggeographicobjectswithfuzziness,thispaperbeginswithadiscussiononthedistancemeasureofspatialobjectsbasedonthetheoryofsetsandanintroductionofdilationanderosionoperators.Undertheassumptionthatchangesofattributesinageographicregionaregradual,theanalyticexpressionsforthefuzzyobjectsofpoints,linesandareas,andthedescriptionoftheirformalstructuresarepresented.Theanalyticmodelofgeographicobjectsbymeansoffuzzyfieldsisdeveloped.Wehaveshownthatthe9-intersectionmodelproposedbyEgenhoferandFranzosa(1991)isaspecialcaseofthemodelpresentedinthepaper.
简介:Three-dimensionelectronicchartdisplayinformationsystem(ECDIS)isoneofthenewdevelopingdirectionsofelectronicnavigationchart,anditsreal-timequalityisoneoftheimportantrequirements.Inthispaperthealgorithmofsimplifyingtrianglesurfaceusingedgecontraction,whichcanensurethereal-timedisplayofobjectsinseabedenvironment,wasputforward.TheoptimumcontractionpointwasdeterminedbytheLagrangematrix,sothatthealgorithmensuresthatthecontractionpointlocatesontheoriginalmodel,meanwhilemeetsthedemandsofleastdeviation.Thisalgorithmcanimprovetheplottingspeed,andpreservetheboundarycharacterbyusingthefewertrianglestosimulateobjects.
简介:Thispaperpresentsanewalgorithmforgenerating3DimagesofB-repsobjectswithtrimmedsurfaceboundaries.The3Dimageisadiscretevoxel-maprepresentationwithinaCubicFrameBuffer(CFB).Thedefinitionof3Dimagesforcurve,surfaceandsolidobjectareintroducedwhichimplytheconnectivityandfidelityrequirements.AdaptiveForwardDifferencingmatrix(AFD-matrix)for1D-3Dmanifoldsin3Dspaceisdeveloped.BysettingrulestoupdatetheAFD-matrix,theforwarddifferencedirectionandstepwisecanbeadjusted.Finally,anefficientalgorithmispresentedbasedontheAFD-matrixconceptforconvertingtheobjectin3Dspaceto3Dimagein3Ddiscretespace.
简介:Inrecentyears,accordingtotheneedofintelligentvideosurveillancesystemincreasingrapidlyinmetropolitancities,adesignbasedonS3C2440microprocessorandembeddedLinuxoperatingsystemisadoptedforreal-timevideotargettracking.However,itisverychallengingasembeddedsystemsusuallyaffordlimitedprocessingpowerandlimitedresources.Therefore,toaddressthisproblem,areal-timetrackingalgorithmusingmulti-featuresbasedoncompressivesensingisproposedandimplemented.Thealgorithmusesmultiplematrixastheprojectionmatrixofthecompressivesensingandthecompresseddateasthemultiplefeaturestoextractusefulinformationneededbytrackingprocess.FunctionsandlibrariesinOpenCVwhichweredevelopedbyIntelCorporationareutilizedforbuildingthetrackingalgorithms.Itistestedwithvariantvideosequencesandtheresultsshowthatthealgorithmachievesstabletrackingforthetargetmovedofthelightchanged.
简介:Severaldifferentstrategiesof3Dmodelingareadoptedfordifferentkindsofmanmadeobjects.Firstly,forthosemanmadeobjectswithregularstructure,if2Dinformationisavailableandelevationinformationcanbeobtainedconveniently,then3Dmodelingofthemcanbeexecuteddirectly.Secondly,forthosemanmadeobjectswithcomplicatedstructurecomparativelyandrelatedstereoimagespaircanbeacquired,inthelightoftopology-based3Dmodelwefinish3Dmodelingofthembyintegratingautomaticandsemi-automaticobjectextraction.Thirdly,forthemostcomplicatedobjectswhosegeometricalinformationcannotbegotfromstereoimagespaircompletely,weturntotopological3DmodelbasedonCAD.
简介:ThetraditionalorientedFASTandrotatedBRIEF(ORB)algorithmhasproblemsofinstabilityandrepetitionofkeypointsanditdoesnotpossessscaleinvariance.Inordertodealwiththesedrawbacks,amodifiedORB(MORB)algorithmisproposed.Inordertoimprovetheprecisionofmatchingandtracking,thispaperputsforwardanMOKalgorithmthatfusesMORBandKanade-Lucas-Tomasi(KLT).ByusingKalman,theobject’sstateinthenextframeispredictedinordertoreducethesizeofsearchwindowandimprovethereal-timeperformanceofobjecttracking.TheexperimentalresultsshowthattheMOKalgorithmcanaccuratelytrackobjectswithdeformationorwithbackgroundclutters,exhibitinghigherrobustnessandaccuracyondiversedatasets.Also,theMOKalgorithmhasagoodreal-timeperformancewiththeaverageframeratereaching90.8fps.