Optical Engineering 4512, 127201 December 2006 Depth from mo(8)
发布时间:2021-06-07
发布时间:2021-06-07
One of the essential problems in computer vision is to recover the distance information of an object from captured images. Its application areas range from industrial inspection and reverse engineering to autonomous robot navigation
“character”image .Thecameramotionspeedis230mm/s.
Aperture0.8mm
Distance mm 500750100012501500
x10974564537
z1545805
z2549807
e1
e2
x
Aperture1.8mmz1547803
z2551805
e1
e2
Acknowledgment
ThesupportofthisworkinpartbytheNationalScienceCouncilofTaiwanundergrantNSC-93-2218-E-194-024isgratefullyacknowledged.
8.99.81097.47.6
74564436
9.410.27.15.47.5
7.35.88.7
106610716.67.1131113234.95.9160116276.78.5
1054105813441358
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scenedistanceperpendiculartotheimageplaneisnotaconstantfordifferentimageacquisitionpositions.Thus,themotionblurredimageiscapturedwhenthecamerareachesthedepthmeasurementposition i.e.,theplacerightinfrontoftheobject’scenter .
Tables6and7showtheexperimentalresultsusingthe“edge”image,withcameramotionspeedsof115and230mm/s,respectively.Theresultsofthe“character”im-agearetabulatedinTables8and9withtwodifferentcam-eramotionspeeds.Equations 20 and 27 areusedfordepthcomputationwiththeangle =15deg.
FromtheexperimentalresultsshowninTables2–9,mostoftherelativeerrorsarelessthan10%.Theresultssuggestthatthereisalinearrelationbetweenthetruedis-tanceandtherecovereddepth.Basedontheproposedcam-eramodel,theparametersgivenbythedepthrecoveryfor-mulasaretheerrorsources.Inadditiontothepossibleerrorcausedbytheincorrectnessofthecameraparameters,theaccuracyofthemotionspeed controlledbythesteppingmotor andblurextentestimationwillalsoaffectthecor-rectnessofthedepthmeasurement.
5ConclusionandFutureWork
Findingthedistanceofanobjectinasceneisanessentialprobleminmanyapplications.Severalapproachesbasedondifferentvisualcuesobservedfromimageshavebeenpro-posedinthepastfewdecades.Inthiswork,wepresentanovelapproachfordepthrecoveryfromasinglemotionanddefocusblurredimage.Differentfrompreviousdepthfromdefocusapproaches,whichusedatleasttwoblurredimages,ourmethodrequiresonlyasingledefocusedimagetorecoverthedepthofascene.Furthermore,thecalibrationstageforourdepthrecoveryalgorithmismuchsimplercomparedtothegeneraldepthfromfocusapproaches.Itisshownthat,inmostcases,defocusblurcanbeignoredinthepresenceofmotionblur.Infuturework,robustblurparameterestimationformorecomplexsceneswillbede-veloped.Depthmeasurementofoutdoorsceneswillbecar-riedoutbycapturingtheblurredimagesfrommovingob-
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