简介:Thispaperpresentsahandheld3Dvision-basedscannerforsmallobjectsbyusingKinect.Itisdifferentfromthepreviouscolor-glove-basedapproacheswhichrequiresegmentingthetargetobject.First,weeliminatethenoisesandtheoutlierscausedbyholdinghands.Second,weapplyKinect-fusionalgorithmandtruncatedsigneddistancefunction(TSDF)torepresent3Dsurfaces.Third,weproposeamodifiedintegrationstrategytoeliminatethehandeffect.Fourth,wetakeadvantageoftheparallelcomputationofGPUsforreal-timeoperation.Themajorcontributionsofthispaperare(1)theregistrationprecisionisimproved,(2)theofflineamendmentandloopclosureoperationarenotrequired,and(3)concave3Dobjectreconstructionisfeasible.IndexTermsHandheld3Dscanning,Kinect-fusion,Truncatedsigneddistancefunction(TSDF).1.IntroductionRecently,thesensor-based3Dmodelreconstructionmethodshavebeenproposed[1].Thesensordeviceshavedifferentpropertiessothatthe3Dreconstructionalgorithmsvaryaccordingly.Thecommonlyusedsensordevicesaretime-of-flight(ToF)cameras[2]-[4],laserscanners[5],andstructuredlightscanners[6],[7].Lasershavegainedareputationforaccuracy;however,caremustbetakentouseeye-safelaserswhenoperatinginproximitytohumans.Foraninteractivesystem,thestructuredlightscannerwhichisbasicallyapassivevision-basedsensordeviceissuperiorbecauseitprovidesa2DdepthimageperframeandismoreaccuratethanthatofaToFcamera.Here,wepresentareal-time3DscannerusingthedepthimagescapturedbyKinect.
简介:Satisfactoryresultscannotbeobtainedwhenthreedimensional(3D)targetswithcomplexmaneuveringcharacteristicsaretrackedbythecommonlyusedtwo-dimensionalcoordinatedturn(2DCT)model.Toaddresstheproblemof3Dtargettrackingwithstrongmaneuverability,onthebasisofthemodifiedthree-dimensionalvariableturn(3DVT)model,anadaptivetrackingalgorithmisproposedbycombiningwiththecubatureKalmanfilter(CKF)inthispaper.Throughideologyofreal-timeidentification,theparametersofthemodelarechangedtoadjustthestatetransitionmatrixandthestatenoisecovariancematrix.Therefore,statesofthetargetarematchedinreal-timetoachievethepurposeofadaptivetracking.Finally,foursimulationsareanalyzedindifferentsettingsbytheMonteCarlomethod.Allresultsshowthattheproposedalgorithmcanupdateparametersofthemodelandidentifymotioncharacteristicsinreal-timewhentargetstrackingalsohasabettertrackingaccuracy.
简介:Asimplifiedthree-dimension(3D)fadingchannelmodeldeployedinamulti-inputmulti-output(MIMO)beamformingsystemisexploredinthisarticle.Bothangleofarrival(AoA)andangleofdeparture(AoD)whichimpacttheoverallsystemperformanceareexamined.Thenumericalresultsaregivenforvalidatingtheaccuracyofthetheoreticalderivedformulas.Furthermore,theperformancesofthemodelwithdifferentnumberoftransmittersandreceiversarestudiedandcompared.TheincrementinAoAparametersdefinitelygeneratestheimpactofthesystemperformancewhentheconsiderationofsimplified3Dchannels.
简介:Awhole-field3Dsurfacemeasurementsystemforsemiconductorwaferinspectionisdescribed.Thesystemconsistsofanopticalfiberplate,whichcansplitthelightbeamintoN2subbeamstorealizethewhole-fieldinspection.Aspecialprismisusedtoseparatetheilluminationlightandsignallight.Thissetupischaracterizedbyhighprecision,highspeedandsimplestructure.
简介:在里面三维(3D)轮廓测量,阶段移动profilometry(PSP)方法是广泛地使用的大多数一个。然而,因为多重设计,PSP的测量速度是很低的。以便改进测量速度,颜色栅栏条纹在这份报纸被用于测量。在测量期间,一仅仅颜色正弦曲线穗在测量目标上被投射。因此,测量速度极大地被改进。自从正在联合或在邻近的颜色栅栏条纹之间的干扰现象,一个颜色修正方法被用来改进测量结果。在修正在修正前比那好以后,为改正测量系统的非线性的错误的一个方法在这份报纸,和获得的图象的正弦曲线性质被建议。试验性的结果证明与这些修正方法,测量错误能被减少。因此,它能为高精确的3D重建支持一个好基础。
简介:Inordertoobtainthethreedimensional(3D)fluorescencespectradirectlyandrapidlybyinsituandinvivophytoplanktonmonitoring,aprototypeoceanlidarsystemwiththeabilityofmeasuring3Dfluorescencespectraisdeveloped,inwhichanopticalparametricoscillator(OPO)andagratingspectrometerareemployed.Usingthesystem,the3Dfluorescencespectraoffivetypicalred-tidespeciesintheEastChinaSeaaremeasuredinlab.Thepreliminaryexperimentalresultsshowthefeasibilityofmonitoringandclassifyingphytoplanktonbythisoceanlidar.