Patent No. US11043026 (titled "Systems And Methods For Processing 2D/3D Data For Structures Of Interest In A Scene And Wireframes Generated Therefrom") was filed by Pointivo Inc on Jan 28, 2018.
’026 is related to the field of generating wireframe renderings from 2D and 3D data. Existing methods for creating these renderings, especially for complex structures like buildings, often require manual intervention to ensure accuracy. This is because current algorithms struggle to automatically resolve geometric features without human assistance, particularly when dealing with non-standard or complex designs.
The underlying idea behind ’026 is to automatically generate accurate wireframe renderings by extracting specific geometric primitives directly from processed 3D data. Instead of relying on predefined shapes from a library, the invention identifies and isolates fundamental geometric forms (planes, ellipsoids, etc.) present in the data, and uses these primitives to construct the wireframe. This approach allows for the accurate representation of arbitrary or complex structures without manual intervention.
The claims of ’026 focus on a method that involves providing 2D and 3D data for a structure of interest, processing this data to generate 3D information representing the structure's edges, and then extracting at least one geometric primitive from this information. The extracted primitives, representing object surfaces, are selected from a predefined list (Table 1 in the patent). The method then processes the output to create a wireframe rendering, determining edges, intersections, and spatial relationships between object surfaces, and combining these to generate the final rendering.
The invention works by first processing 2D images and 3D point clouds to generate 3D data with boundary information. This processed data is then analyzed to identify and extract the geometric primitives. The extracted primitives are combined, taking into account their spatial relationships and intersections, to create the wireframe. The process can also incorporate machine learning to refine the wireframe's geometry and appearance, ensuring accuracy and consistency.
’026 differentiates itself from prior approaches by using a data-driven method that extracts geometric primitives directly from the processed 3D data, rather than relying on a model-driven approach that fits predefined shapes to the data. This allows the system to accurately represent complex or non-standard structures without needing a library of predefined shapes. The resulting wireframe renderings are numerically accurate, with measurements and dimensions closely matching the actual structure.
In the late 2010s when ’026 was filed, 3D modeling and wireframe generation at a time when systems commonly relied on point cloud data obtained from LiDAR or similar techniques. At this time, generating accurate wireframe renderings automatically, especially for complex or non-standard structures, was non-trivial due to limitations in computer vision algorithms and the need for manual intervention.
The examiner allowed the claims because the combination of resolving edges of object surfaces based on intersections, spatial relationships, and multiple 2D images, along with combining the resolved object surfaces to generate a wireframe rendering, was not disclosed in the prior art. The examiner also stated that there was no motivation to combine the references to meet the limitations of the claims.
This patent contains 18 claims, with independent claims numbered 1 and 9. The independent claims are directed to methods of generating wireframe renderings of structures of interest using 2D and 3D data. The dependent claims generally add further details or limitations to the methods described in the independent claims.
Definitions of key terms used in the patent claims.
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