Statiscal evaluation of the user-specified input parameters in an adaptive weight depth map algorithm

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dc.contributor.advisorRuiz Salguero, Oscar Eduardo
dc.contributor.authorHoyos Sierra, Alejandro
dc.coverage.spatialMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.creator.degreeIngeniero Mecánicospa
dc.creator.emailAlejandro Hoyos Sierra (ahoyossi@eafit.edu.co)spa
dc.date.accessioned2015-11-23T19:52:37Z
dc.date.available2015-11-23T19:52:37Z
dc.date.issued2011
dc.description.abstractIn depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experiments -- A structured statistical approach including classical and exploratory data analyses on over 14000 images to measure the relative influence of the parameters allows their tuning based on the number of bad pixels -- The implemented methodology improves the performance of dense depth map algorithms -- As a result of the statistical based tuning, the algorithm improves from 16.78% to 14.48% bad pixels rising 7 spots as per the Middlebury Stereo Evaluation Ranking Table -- The performance is measured based on the distance of the algorithm results vs. the Ground Truth by Middlebury -- Future work aims to achieve the tuning by using significantly smaller data sets on fractional factorial and response surface design of experimentsspa
dc.identifier.other006.37CDH868
dc.identifier.urihttp://hdl.handle.net/10784/7757
dc.language.isospaspa
dc.publisherUniversidad EAFITspa
dc.publisher.departmentEscuela de Ingeniería. Departamento de Ingeniería Mecánicaspa
dc.publisher.programIngeniería Mecánicaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.localAcceso abiertospa
dc.subjectDepth Mapspa
dc.subjectParameter Tuningspa
dc.subjectStatical Evaluationspa
dc.subject.keywordAlgorithmsspa
dc.subject.keywordRegression analysisspa
dc.subject.keywordMathematical statisticsspa
dc.subject.keywordAnalysis of variance - data processingspa
dc.subject.keywordCartographyspa
dc.subject.keywordFactor analysisspa
dc.subject.lembALGORITMOSspa
dc.subject.lembANÁLISIS DE REGRESIÓNspa
dc.subject.lembESTADÍSTICA MATEMÁTICAspa
dc.subject.lembANÁLISIS DE VARIANZA - PROCESAMIENTO DE DATOSspa
dc.subject.lembCARTOGRAFÍAspa
dc.subject.lembANÁLISIS FACTORIALspa
dc.titleStatiscal evaluation of the user-specified input parameters in an adaptive weight depth map algorithmspa
dc.typeinfo:eu-repo/semantics/bachelorThesis
dc.typebachelorThesiseng
dc.type.hasVersionacceptedVersioneng
dc.type.localTrabajo de gradospa

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