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一种简单易行的摄像机标定方法 Title:ASimpleandPracticalCameraCalibrationMethod Abstract: Cameracalibrationisanessentialprocessincomputervisionandcomputergraphicsapplications.Itinvolvesdeterminingtheintrinsicandextrinsicparametersofacamera,whicharenecessaryforaccuratescenemeasurementsand3Dreconstruction.Inthispaper,weproposeasimpleandpracticalcameracalibrationmethodthatrequiresminimalequipmentandiseasytoimplement.Themethodutilizesaplanarcalibrationtargetandutilizesacombinationofmanualandautomatictechniquestoestimatecameraparameters.Experimentalresultsdemonstratetheeffectivenessandaccuracyoftheproposedmethod. 1.Introduction Cameracalibrationisafundamentalstepincomputervisionandgraphics,withnumerousapplicationssuchasscenereconstruction,objecttracking,augmentedreality,andcameraposeestimation.Traditionalcalibrationmethodsoftenrequireexpensiveequipment,multipleimages,andcomplexmathematicalcalculations.Ourproposedmethodaimstodevelopanalternativeapproachthatisbothsimpleandpractical. 2.LiteratureReview Inthissection,wereviewthecurrentstate-of-the-artcameracalibrationmethods.Wediscussthelimitationsandadvantagesofeachmethod,highlightingtheneedforasimplerandmoreaccessibleapproach. 3.Methodology 3.1.EquipmentandMaterials Ourmethodonlyrequiresminimalequipment,includingacamera,aplanarcalibrationtarget,andatripod.Theplanartargetcanbeaprintedcheckerboardpatternoraregulargridofknownsize.Thetripodisusedtostabilizethecameraduringthecalibrationprocess. 3.2.DataAcquisition Severalimagesoftheplanarcalibrationtargetarecapturedfromdifferentorientationsandpositions.Itiscrucialtoensurethatthetargetisfullyvisibleineachimageandcoversarangeofcameraposes. 3.3.DetectionandExtractionofCalibrationPoints Inthisstep,thecornersorintersectionsofthecalibrationtargetaredetectedineachimage.Variouscomputervisiontechniques,suchascornerdetectionalgorithms,canbeusedforthispurpose.Thedetectedpointsarethenextractedandstoredforfurtherprocessing. 3.4.ParameterEstimation Thecameraparameterscanbeestimatedeithermanuallyorautomatica

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