Patent attributes
An automated method is disclosed that classifies a first component and a second component of a roof with data points being part of, or extracted from at least one image. The first component and the second component have a ridge, at least one eave parallel to the ridge and a rectangular base. Evidence of a soft constraint and a hard constraint is identified via the data points and such evidence is associated with the first component and the second component. At least one hypothesis model of the roof is generated using relationships between the first component and the second component, the soft constraint and the hard constraint. The hypothesis model is transformed into a three dimensional model, and the three dimensional model is used to generate a roof report of the roof.