Eagle View Technologies, Inc.

John Francis Keane

Chris Pershing

Geometric correction of rough wireframe models derived from photographs may include rectification of either a 2D or 3D original wireframe model of a roof structure, derivation of metadata from the original wireframe, in-plane normalization of the wireframe, extrusion into a 'rough' 3D wireframe based on the normalized wireframe, and correction of the 'rough' 3D wireframe. The correction and normalization may be an iterative process based on initial pitch values, metadata derived from the original or corrected wireframe models and defined constraints regarding relationships between roof portions or segments. The iterative process may repeat adjusting the wireframe model until the adjusting converges to a stable state according to the various defined constraints.

Geometric correction of rough wireframe models derived from photographs

Automated methods and systems are disclosed that classify a first component and a second component of a roof with data points being part of, or extracted from, at least one image and/or point cloud. The first component and the second component may have a polygonal base and at least one edge. Evidence of a soft constraint and a hard constraint may be identified via the data points and such evidence may be associated with the first component and the second component. At least one hypothesis model of the roof may be generated using relationships between the first component and the second component, the soft constraint and the hard constraint. The hypothesis model may be transformed into a three-dimensional model. The three-dimensional model may be used to generate a roof report of the roof.

Supervised automatic roof modeling

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.

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Kenmore, WA, United States of America

John Francis Keane