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1、410IEEETRANSACTIONSONPATTERNANALYSISANDMACHINEINTELLIGENCE,VOL.34,NO.2,FEBRUARY2012NearReal-TimeStereoMatchingInfact,pixel-wisesupport-weightcomputationisahighlytime-UsingGeodesicDiffusionconsumingtask.Anisotropicdiffusion[9],acomputervisiontechniqueverysimilartoad
2、aptiveweightingbutcomputationallylessexpensive,hasbeenusedinanattempttoreducetheLeonardoDe-Maeztu,computationalrequirements.Nevertheless,theimplementationofArantxaVillanueva,Member,IEEE,andthistechniqueforstereomatchinghassofarresultedinlow-qualityRafaelCabezadispa
3、ritymaps[10].MinandSohn[10]proposedanintermediatesolution:Theyusedadaptive-weightaggregationwindows(smal-lerthanthoseusedinadaptive-weight(AW)solutions)andAbstract—Adaptive-weightalgorithmscurrentlyrepresentthestateoftheartinlocalstereomatching.However,duetotheirco
4、mputationalrequirements,theseincorporatedtheiterativenatureofdiffusionalgorithms.Yoonettypesofsolutionsarenotsuitableforreal-timeimplementation.Here,wepresentaal.[11]oftheoriginaladaptive-weightalgorithmhavealsonovelaggregationmethodinspiredbytheanisotropicdiffusio
5、ntechniqueusedinproposedasimilarsolution.imagefiltering.TheproposedaggregationalgorithmproducesresultssimilartoHere,wepresentanewlocalstereomatchingalgorithmadaptive-weightsolutionswhilereducingthecomputationalrequirements.inspiredbyanisotropicdiffusion.Moreprecise
6、ly,weproposeMoreover,nearreal-timeperformanceisdemonstratedwithaGPUseveralnovelideastoimprovetheeffectivenessofdiffusion-basedimplementationofthealgorithm.stereomatching.Theseideasareaimedatdiffusingbothmatchingcostsandweightssothatateachiteration,therelativeimport
7、anceIndexTerms—Stereo,3D/stereosceneanalysis.ofeachdiffusionpath(i.e.,theweightofthispath)isknown.ÇMoreover,acoefficientisintroducedtoavoidloopsinthediffusionprocessthatwouldpreventanefficientdiffusionofthe1INTRODUCTIONmatchingcosts.Theproposedsolutionproducesresul
8、tssimilartoSTEREOmatchingisoneofthemostactiveareasinthefieldofthebestperforminglocalalgorithm(geodesicadaptiveweighting),computervision.Asaconseq
