预览加载中，请您耐心等待几秒...

基于双焦成像的单目立体视觉技术研究的中期报告.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于双焦成像的单目立体视觉技术研究的中期报告 Abstract: Thisreportpresentsthemid-termfindingsoftheresearchonmonocularstereoscopicvisiontechnologybasedondual-focusimaging.Thepurposeofthisresearchistodevelopamoreaccurateandefficientmethodofstereoscopicvisionbyleveragingtheuniquecapabilitiesofdual-focusimaging.Thereportoutlinesthetheoreticalfoundationsofthetechnology,andpresentsexperimentalfindingsfromaprototypeimplementation. Introduction: Stereoscopicvisionisapowerfultoolfordepthperception,andiswidelyusedinfieldssuchasrobotics,computervision,andvirtualreality.Whiletraditionalmethodsofstereoscopicvisionrelyontwocameraswithafixedbaselinedistance,recentresearchhasexploredtheuseofsinglecameraswithvaryingfocustoachievestereoscopicvision.Thisapproach,knownasmonocularstereoscopicvision,hasthepotentialtosimplifythehardwarerequiredforstereoscopicvision,whilealsoimprovingitsaccuracyandefficiency. Methodology: Theproposedmethodofmonocularstereoscopicvisionisbasedontheuseofdual-focusimaging.Thisinvolvescapturingtwoimagesofasceneusingasinglecamerawithtwodifferentfocalpoints.Byanalyzingthedifferencesbetweenthesetwoimages,itispossibletoextractdepthinformationaboutthescene. Inordertoimplementthistechnology,wehavedevelopedaprototypesystemconsistingofacameralenswithadjustablefocallength,andsoftwareforprocessingthecapturedimages.Oursoftwareapproachreliesontheuseofcomputervisionalgorithmstoanalyzethecapturedimages,andextractdepthinformation.Thisinvolvesidentifyingcorrespondingfeaturesinthetwoimages,andthencalculatingthedisparitybetweenthem. Results: Wehaveconductedinitialexperimentswithourprototypesystem,andhaveachievedpromisingresults.Oursystemiscapableofaccuratelydetectingobjectswithinascene,andextractingtheirdepthinformation.Wehavealsotestedthesystemwithobjectsatvaryingdistances,andhavefoundthatitisabletoaccuratelymeasurethedistancetoobjectsuptoseveralmetersaway. Conclusion: Themid-termfindingsofourresearchonmonocularstereoscopicvisiontechnologybasedondual-focusimagingshowpromiseforthedevelopmentofamoreeff