Modelling and Interpretation of Architecture from Several Images

Scoring functionOverviewParametersFormal ProblemFormulationPrior EvaluationrjMCMC⊲ Scoring functionJumpingDistributionList of JumpsModel AcquisitionAlgorithmResultsThe scoring function is used to evaluate the shape prior bycombining its individual terms:f prior (θ) = f scale (θ) + f shape (θ) + f align (θ)f sym (θ) The shapeand scale terms are used to disqualify implausible primitives. Thealignment and symmetry terms are evaluated as:R∑f align (θ) = [V ar(t r ) + V ar(b r ) + V ar(r r − l r )] +r=1C∑[V ar(l c ) + V ar(r c ) + V ar(t c − b c )], where t r , b r , l r , r r andc=1t c , b c , l c , r c are the top, bottom, left and right coordinatesbelonging to a row and column of shapes, respectively.R∑f sym (θ) = [(l r − l) − (r r − r)] 2 , where l r and r r are ther=1leftmost and rightmost point of row r, respectively. NB:Symmetry only defined for columns.20 / 35