简介:A3D扩充了现实航行系统使用实体镜的图象为teleoperated机器人系统被开发。在模仿的模型和实际机器人的录像图象之间的精确匹配能被认识到,它帮助操作员正确地并且可靠地完成遥控任务。系统介绍不同地图翻译转变方法为实体镜的显示器拿视差图象,提供操作符immersive3D经验。同时,动态立体声录像的一个快、精确的登记方法被建议,并且一个虚拟机器人的有效集成和真实立体声景色能被完成。系统的操作错误在不到2.2公里和平均错误被维持的初步的实验表演是0.8547,在x的0.9093和0.6972公里,y,z方向分别地。大量实验象按按钮那样,等等拉抽屉也被进行评估系统的表演。结构的深度信息能是的可行性研究表演很快并且在遥远的环境认出了地点。图象覆盖系统的扩充现实能增加操作精确性并且由于看的直觉的3D减少过程时间。
简介:Single-cameramobile-visioncoordinatemeasurementisoneoftheprimarymethodsof3D-coordinatevisionmeasurement,andcodedtargetplaysanimportantroleinthissystem.Amultifunctionalcodedtargetanditsrecognitionalgorithmisdeveloped,whichcanrealizeautomaticmatchoffeaturepoints,calculationofcamerainitialexteriororientationandspacescalefactorconstraintinmeasurementsystem.Theuniquenessandscalabilityofcodingareguaranteedbytherationalarrangementofcodebits.Therecognitionofcodedtargetsisrealizedbycross-ratioinvariancerestriction,spacecoordinatestransformoffeaturepointsbasedonspacialposeestimationalgorithm,recognitionofcodebitsandcomputationofcodingvalues.Theexperimentresultsdemonstratetheuniquenessofthecodingformandthereliabilityofrecognition.
简介:Arobustsystemforbacklitkeyboardinspectionisrevealed.Thebacklitkeyboardnotonlyhaschangeablediversecolorsbutalsohasthelasermarkingkeys.Thekeysonthekeyboardcanbedividedintoregionsoffunctionkeys,normalkeys,andnumberkeys.However,theremighthavesometypesofdefects:incorrectilluminatingarea,non-uniformilluminationofspecifiedinspectionregion(IR),andincorrectluminanceandintensityofindividualkey.Sincetheilluminationfeaturesofbacklitkeyboardaretoocomplextoinspectforhumaninspectorintheproductionline,anauto-matedinspectionsystemforthebacklitkeyboardisproposedinthispaper.Thesystemwasdesignedintotheoperationmoduleandinspectionmodule.Asetofimageprocessingmethodsweredevelopedforthesedefectsinspection.Someexperimentalresultsdemonstratetherobustnessandeffectivenessoftheproposedsystem.
简介:Thetraditionaleyesensitivityfunctionbasedonphotopicvisionisnotapplicableinthemesopicvisionstate.Themesopicvisionisstudiedbyusingthephotopicandscotopicvisionstatesensitivityfunctions.Andthemodelwhichlinksthemesopicsensitivitywiththephotopicandscotopicstatesisbuilt.Basedonthemodel,theluminousefficacyofmesopicvisioniscalculatedandappliedtothespectrumdistributionofLEDlightsources.TheresultsshowthattheluminousefficacyofacommercialYAGphosphorconvertedwhiteLEDisupto172.7lm/Watmesopicvision,whichis67.2%higherthanthatofphotopicvisionstate.WealsoconcludethattheoptimalspectralpowerdistributionoftheLEDwillgreatlyincreasethemesopicluminousefficacy.
简介:Afeature-constrainedstereomatchingalgorithmforlunarrovernavigationispresentedbasedontheanalysisofthestereovisionsystemandworkingenvironmentsoflunarrover.Infeature-matchingphase,edgepointsareextractedwithwavelettransformandareusedastheprimitivesformatching.Thenthreecriterionsareutilizedinturntoselectthecorrectmatchingpointswiththepyramidalsearchingstrategy.Asaresult,thealgorithmfindscorrespondingpointssuccessfullyforlargenumbersofedgepoints.Area-matchingisaccomplishedundertheconstraintofedge-matchingresults,andthecorrelationisselectedasthecriterion.Experimentalresultswithrealimagesofnaturalterrainindicatethatthealgorithmprovidesdensedisparitymapswithfairlyhighaccuracy.
简介:Vehicleanti-collisiontechniqueisahottopicintheresearchareaofIntelligentTransportSystem.Theresearchonprecedingvehiclesdetectionandthedistancemeasurement,whicharethekeytechniques,makesgreatcontributionstosafe-driving.Thispaperpresentsamethodwhichcanbeusedtodetectprecedingvehiclesandgetthedistancebetweenowncarandthecarahead.Firstly,anadaptivethresholdmethodisusedtogetshadowfeature,andashadow!areamergingapproachisusedtodealwiththedistortionoftheshadowborder.Regionofinterest(ROI)isobtainedusingshadowfeature.ThenintheROI,symmetryfeatureisanalyzedtoverifywhethertherearevehiclesandtolocatethevehicles.Finally,usingmonocularvisiondistancemeasurementbasedoncamerainteriorparametersandgeometricalreasoning,wegetthedistancebetweenowncarandtheprecedingone.Experimentalresultsshowthattheproposedmethodcandetecttheprecedingvehicleeffectivelyandgetthedistancebetweenvehiclesaccurately.
简介:Anewrnultiscaleedgedetectionmethodispresented,whichisbasedonaneffectiveedgemeasure.Theeffectiveedgemeasure,usedtoadaptivelyadjustthescalesofwavelettransform,isdefinedusingthenovelfeaturesofimageedgeobtainedfromhumanbeingvisioncharacteristics.Finally,twoexperimentsshowthattheproposedalgorithmappearstoworkwell.
简介:Thisstudyanalyzeslivefacialvideosforrecognizingnonverballearning-relatedfacialmovementsandheadposestodiscoverthelearningstatusofstudents.First,coloranddepthfacialvideoscapturedbyaKinectareanalyzedforfacetrackingusingathree-dimensional(3D)activeappearancemodel(AAM).Second,thefacialfeaturevectorsequencesareusedtotrainhiddenMarkovmodels(HMMs)torecognizesevenlearning-relatedfacialmovements(smile,blink,frown,shake,nod,yawn,andtalk).Thefinalstageinvolvestheanalysisofthefacialmovementvectorsequencetoevaluatethreestatusscores(understanding,interaction,andconsciousness),eachrepresentsthelearningstatusofastudentandishelpfultobothteachersandstudentsforimprovingteachingandlearning.Fiveteachingactivitiesdemonstratethattheproposedlearningstatusanalysissystempromotestheinterpersonalcommunicationbetweenteachersandstudents.
简介:Inthispaper,wepresentarobotvisionbasedsystemforcoordinatemeasurementoffeaturepointsonlargescaleautomobileparts.Oursystemconsistsofanindustrial6-DOFrobotmountedwithaCCDcameraandaPC.Thesystemcontrolstherobotintotheareaoffeaturepoints.Theimagesofmeasuringfeaturepointsareacquiredbythecameramountedontherobot.3Dpositionsofthefeaturepointsareobtainedfromamodelbasedposeestimationthatappliestotheimages.Themeasuredpositionsofallfeaturepointsarethentransformedtothereferencecoordinateoffeaturepointswhosepositionsareobtainedfromthecoordinatemeasuringmachine(CMM).Finally,thepoint-to-pointdistancesbetweenthemeasuredfeaturepointsandthereferencefeaturepointsarecalculatedandreported.Theresultsshowthattherootmeansquareerror(RMSE)ofmeasurevaluesobtainedbyoursystemislessthan0.5mm.Oursystemisadequateforautomobileassemblyandcanperformfasterthanconventionalmethods.
简介:2010年,3D潮流可谓锐不可挡,以主动快门式3D技术为代表的眼镜式3D电视大规模登陆市场,市场销售呈现开门红,预计全年全球销量将突破300万台,因此2010年可以称得上真正的"3D电视发展的开元之年"。眼镜的束缚似乎没有阻挡消费者对3D电视的欣赏热情,但冷静之余,我们却不得不面对眼镜式3D电视可能会对视力造成的不良影响,以及长时间观看所带来的头晕、恶心等不良感受,而且对近视眼患者因佩戴"双重"眼镜所带来的痛苦更是不可言状,因此,我们不得不承认,目前的眼镜式3D电视只能作为3D电视技术发展的过渡产品,而最终必然被成熟的裸眼3D电视技术所取代,裸眼3D显示将是未来3D电视技术发展的必然归宿。