US2021217231A1PendingUtilityA1
Estimating dimensions of geo-referenced ground-level imagery using orthogonal imagery
Est. expiryOct 25, 2033(~7.2 yrs left)· nominal 20-yr term from priority
G06T 17/20G06T 2207/10004G06T 2210/04G06T 7/75G06T 17/00G06T 1/0007G06T 2219/012
72
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Claims
Abstract
A system and method is provided for measurements of building façade elements by combining ground-level and orthogonal imagery. The measurements of the dimension of building façade elements are based on ground-level imagery that is scaled and geo-referenced using orthogonal imagery. The method continues by creating a tabular dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and/or paint), windows or doors. The tabular dataset can be part of an estimate report.
Claims
exact text as granted — not AI-modified1 - 11 . (canceled)
12 . A method of generating measurements of a three-dimensional building model, comprising:
receiving a plurality of ground-level images capturing a building object; determining a location associated with the plurality of ground-level images; generating a three-dimensional building model based on the plurality of ground-level images, wherein the three-dimensional building model represents the building object as a projection in three-dimensional space; receiving a geo-referenced top-view orthogonal image of the building object based on the location associated with the plurality of ground-level images; matching at least a first point and a second point of the three-dimensional building model to corresponding pixels in the geo-referenced top-view orthogonal image; deriving a scale of the three-dimensional building model by geo-referencing all points within the three-dimensional building model based on the matching; and generating a measurement between a third point and a fourth point of the three-dimensional building model based on the derived scale.
13 . The method of claim 12 , wherein the plurality of ground-level images are captured using a smartphone.
14 . The method of claim 12 , wherein generating the three-dimensional building model comprises:
generating a three-dimensional point cloud of the building object based on the plurality of ground-level images.
15 . The method of claim 14 , wherein generating the three-dimensional building model further comprises:
identifying architectural features of the three-dimensional point cloud.
16 . The method of claim 15 , further comprising:
generating measurements of the architectural features based on the derived scale.
17 . The method of claim 12 , wherein matching at least the first point and the second point of the three-dimensional building model to corresponding pixels in the geo-referenced top-view orthogonal image comprises:
matching at least two vertices of a planar surface of the three-dimensional building model to corresponding pixels in the geo-referenced top-view orthogonal image.
18 . The method of claim 12 , wherein generating the measurement between the third point and the fourth point of the three-dimensional building model based on the derived scale comprises:
receiving a selection of the third point; receiving a selection of the fourth point; determining, in three-dimensional space, a linear distance between the third point and the fourth point; and converting the linear distance to a geometric distance based on the derived scale, wherein generating the measurement is further based on the geometric distance.
19 . One or more non-transitory computer-readable media storing instructions that, when executed by a system comprising one or more processors, cause the one or more processors to perform operations comprising:
receiving a plurality of ground-level images capturing a building object; determining a location associated with the plurality of ground-level images; generating a three-dimensional building model based on the plurality of ground-level images, wherein the three-dimensional building model represents the building object as a projection in three-dimensional space; receiving a geo-referenced top-view orthogonal image of the building object based on the location associated with the plurality of ground-level images; matching at least a first point and a second point of the three-dimensional building model to corresponding pixels in the geo-referenced top-view orthogonal image; deriving a scale of the three-dimensional building model by geo-referencing all points within the three-dimensional building model based on the matching; and generating a measurement between a third point and a fourth point of the three-dimensional building model based on the derived scale.
20 . The one or more non-transitory computer-readable media of claim 19 , wherein the plurality of ground-level images are captured using a smartphone.
21 . The one or more non-transitory computer-readable media of claim 19 , wherein generating the three-dimensional building model comprises:
generating a three-dimensional point cloud of the building object based on the plurality of ground-level images.
22 . The one or more non-transitory computer-readable media of claim 21 , wherein generating the three-dimensional building model further comprises:
identifying architectural features of the three-dimensional point cloud.
23 . The one or more non-transitory computer-readable media of claim 22 , further comprising:
generating measurements of the architectural features based on the derived scale.
24 . The one or more non-transitory computer-readable media of claim 19 , wherein matching at least the first point and the second point of the three-dimensional building model to corresponding pixels in the geo-referenced top-view orthogonal image comprises:
matching at least two vertices of a planar surface of the three-dimensional building model to corresponding pixels in the geo-referenced top-view orthogonal image.
25 . The one or more non-transitory computer-readable media of claim 19 , wherein generating the measurement between the third point and the fourth point of the three-dimensional building model based on the derived scale comprises:
receiving a selection of the third point; receiving a selection of the fourth point; determining, in three-dimensional space, a linear distance between the third point and the fourth point; and converting the linear distance to a geometric distance based on the derived scale, wherein generating the measurement is further based on the geometric distance.Join the waitlist — get patent alerts
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