Stereo Image Analysis of Non-Lambertian Surfaces

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1、IntJComputVis(2009)81:172190DOI10.1007/s11263-008-0157-1StereoImageAnalysisofNon-LambertianSurfacesChristianWöhler·PablodAngeloReceived:7September2007/Accepted:10July2008/Publishedonline:28August2008©SpringerScience+BusinessMedia,LLC2008AbstractStereoimageanalysisisbasedones

2、tablishingshapefromphotopolarimetricreflectanceanddepthtech-correspondencesbetweenapairofimagesbydetermin-nique.Asyntheticimageofthesurfaceisrenderedintheco-ingsimilaritymeasuresforpotentiallycorrespondingim-ordinatesystemofcamera2usingtheilluminationdirectionageparts.Suchsim

3、ilaritycriteriaareonlystrictlyvalidforandreflectancepropertiesofthesurfacematerial.Pointcor-surfaceswithLambertian(diffuse)reflectancecharacteris-respondencesbetweentherenderedimageandtheobservedtics.Specularreflectionsareviewpointdependentandmayimageofcamera2areestablishedwith

4、theblockmatchingthuscauselargeintensitydifferencesatcorrespondingim-technique.Thisprocedureyieldsanincreasednumberof3Dagepoints.Inthepresenceofspecularreflections,traditionalpointsofhigheraccuracy,comparedtotheinitial3Dpointstereoapproachesareoftenunabletoestablishcorrespon-c

5、loud.Theimproved3Dpointcloudisusedtocomputeadencesatall,ortheinferreddisparityvaluestendtobein-refineddense3Dsurfaceprofile.Thesestepsareiteratedaccurate,ortheestablishedcorrespondencesdonotbelonguntilconvergenceofthe3Dreconstruction.Anexperimen-tothesamephysicalsurfacepoint.T

6、hestereoimageanaly-talevaluationofourmethodisprovidedforareasofsev-sisframeworkfornon-Lambertiansurfacespresentedinthiseralsquarecentimetresofforgedandcastironobjectswithcontributioncombinesgeometriccueswithphotometricandpolarimetricinformationintoaniterativeschemethatal-rou

7、ghsurfacesdisplayingbothdiffuseandsignificantspec-lowstoestablishstereocorrespondencesinaccordancewithularreflectancecomponents,wheretraditionalstereoimagethespecularreflectancebehaviourandatthesametimetoanalysislargelyfails.Acomparisontoindependentlymea-determinethesurfacegrad

8、ientfieldbasedontheknownsuredgroundtruthdatarevealsthattheroot-mean-squareer