Scale error correction in a multi-dimensional model
First Claim
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1. A computing device comprises:
- an interface;
a local memory; and
a processing module operably coupled to the interface and the local memory, wherein the processing module functions to;
retrieve, from a multi-dimensional model database, a multi-dimensional model;
identify an architectural element located on one or more surfaces of the multi-dimensional model;
define a plurality of boundaries for the architectural element;
determine measurements between two or more of the plurality of boundaries of the architectural element;
compare the determined measurements to a plurality of known similar architectural element'"'"'s standard dimensions, within an error threshold;
select, based on the comparing, actual dimensions of a known similar architectural element that is dimensionally closest to the architectural element;
determine an error in scaling of the multi-dimensional model based on comparing the determined measurements to respective dimensions on the known similar architectural element;
perform a statistical analysis for a determined error in scaling for a plurality of architectural elements and selecting a minimum statistical occurrence of the errorin scaling, wherein the statistical analysis predicts, based on a comparison of the determined error in scaling, which architectural element of at least two or more architectural elements of the plurality of architectural elements would produce a most accurate rescaled multi-dimensional model; and
rescale the multi-dimensional model according to the minimum statistical occurrence of the error.
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Abstract
A system and method is provided for identifying error and rescaling and constructing or reconstructing a multi-dimensional (e.g., 3D building) model using known architectural dimensions. The system identifies architectural elements that have known architectural standard dimensions. Dimensional measurements of architectural elements in the multi-dimensional model (poorly scaled) are compared with known architectural standard dimensions to rescale and construct/reconstruct an accurate multi-dimensional building model.
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Citations
9 Claims
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1. A computing device comprises:
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an interface; a local memory; and a processing module operably coupled to the interface and the local memory, wherein the processing module functions to; retrieve, from a multi-dimensional model database, a multi-dimensional model; identify an architectural element located on one or more surfaces of the multi-dimensional model; define a plurality of boundaries for the architectural element; determine measurements between two or more of the plurality of boundaries of the architectural element; compare the determined measurements to a plurality of known similar architectural element'"'"'s standard dimensions, within an error threshold; select, based on the comparing, actual dimensions of a known similar architectural element that is dimensionally closest to the architectural element; determine an error in scaling of the multi-dimensional model based on comparing the determined measurements to respective dimensions on the known similar architectural element; perform a statistical analysis for a determined error in scaling for a plurality of architectural elements and selecting a minimum statistical occurrence of the error in scaling, wherein the statistical analysis predicts, based on a comparison of the determined error in scaling, which architectural element of at least two or more architectural elements of the plurality of architectural elements would produce a most accurate rescaled multi-dimensional model; and rescale the multi-dimensional model according to the minimum statistical occurrence of the error. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification