Modelling and Interpretation of Architecture from Several Images

More documents

Recommendations

Info

Wall PlanesOverviewParametersFormal ProblemFormulationPrior EvaluationrjMCMCModel AcquisitionAlgorithmDetailed AlgorithmOverview⊲ Wall PlanesOptimising WallPlanesPrimitivesPrimitive LikelihoodsPrimitive parameterrefinementMAP ModelFrom the point cloud obtained from the SFM, the wallplanes need to be estimated. First the the dominant planesare extracted using a RANSAC technique, where the twomost commonly occurring orientations of lines are belongingto each plane are taken as the horizontal and vertical axis ofthe plane. Next the sides of the wall are aligned with thesedirections. The dimensions of the wall is the minimum spanof all points from that plane. The inliers for that plane areremoved form the point cloud and the same technique isrepeated, to find subsequent wall planes.Results25 / 35
Optimising Wall PlanesOverviewParametersFormal ProblemFormulationPrior EvaluationThe two main error in the initial wall plane estimation arethe ground plane normal and the bounding rectangle, so themodel is optimized using gradient descent.rjMCMCModel AcquisitionAlgorithmDetailed AlgorithmOverviewWall PlanesOptimising Wall⊲ PlanesPrimitivesPrimitive LikelihoodsPrimitive parameterrefinementMAP ModelResultsPlot in middle error surface is flat, because sky and groundare featureless.26 / 35
Page 1 and 2: GoBack
Page 3 and 4: ⊲ OverviewProblem StatementAlgori
Page 5 and 6: Algorithm OverviewOverviewProblem S
Page 7 and 8: Overview⊲ ParametersWall PlaneVol
Page 9 and 10: Volumetric Shape PrimitivesOverview
Page 11 and 12: OverviewParameters⊲Formal Problem
Page 13 and 14: Posterior - 2OverviewParametersForm
Page 15 and 16: OverviewParametersFormal ProblemFor
Page 17 and 18: Wall Plane Prior EvaluationOverview
Page 19 and 20: Texture Prior EvaluationOverviewPar
Page 21 and 22: Scoring functionOverviewParametersF
Page 23 and 24: List of JumpsOverviewParametersForm
Page 25: Detailed Algorithm OverviewOverview
Page 29 and 30: Primitive LikelihoodsOverviewParame
Page 31 and 32: MAP ModelOverviewParametersFormal P
Page 33 and 34: Comparison to ground truthOverviewP
Page 35 and 36: AmbiguitiesOverviewParametersFormal

Modelling and Interpretation of Architecture from Several Images

Create successful ePaper yourself

Delete template?

Save as template?