Automatic 3D Building Modeling via Polygon Triangulation
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Solution Overview
Problem
Existing 3D modeling methods for complex buildings suffer from low accuracy and inefficiency due to the need for manual intervention and simplification of complex polygons into regular shapes, leading to loss of detail and inability to accurately represent structures like patios and irregular buildings.
Innovation Solution
An automatic 3D modeling method that preprocesses building data, extracts information for modeling, and models the main body and roof based on plane coordinates and elevation data, rearranging node orders and processing boundaries to create seamless triangles for high-accuracy representation without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If complex polygons are simplified into regular shapes for 3D modeling, then the modeling process becomes easier and faster, but the accuracy and detail of the building representation deteriorates
Solution Approach 1:
The patent segments complex building boundaries into multiple simple polygons through automatic decomposition algorithms. The system divides irregular building footprints into triangular or quadrangular segments that can be processed automatically, eliminating the need for manual simplification while preserving geometric accuracy. Each segment is then modeled independently and assembled to form the complete 3D building model.
Solution Approach 2:
The patent transforms 2D boundary coordinates and elevation data into 3D geometric parameters automatically. By changing the parameter representation from simplified regular shapes to coordinate-based precise geometry, the system maintains manufacturing ease through algorithmic processing while achieving high modeling accuracy through exact coordinate transformation and elevation assignment.
2Manufacturing precision
If manual intervention is used in the 3D modeling process, then the accuracy of building details can be improved, but the productivity and efficiency of the modeling process deteriorates
Solution Approach 1:
The patent implements self-service through automatic algorithms that perform tasks previously requiring manual intervention. The system automatically extracts building boundaries from 2D data, calculates elevation values, decomposes complex polygons, generates 3D geometry, and assembles final models without human input. This automation maintains high productivity while achieving accuracy through precise algorithmic processing of coordinate and elevation data.
Solution Approach 2:
The patent replaces the mechanical manual modeling process with an automated computational system. Instead of manual vertex placement and shape drawing, the system uses algorithms to transform 2D boundary coordinates and elevation data into 3D models automatically. This substitution maintains efficiency by eliminating manual operations while achieving accuracy through precise mathematical transformation and automatic geometric construction.
3Productivity
If complex polygons are decomposed into simple polygons automatically, then the productivity is improved, but the complexity of the algorithm increases
Solution Approach 1:
The patent applies segmentation by dividing complex polygon decomposition into systematic stages: boundary extraction from 2D data, vertex identification, automatic triangulation or quadrangulation algorithms, and sequential assembly of simple polygon segments. This structured segmentation manages algorithmic complexity by breaking down the decomposition task into standardized sub-processes that can be executed automatically, improving productivity through efficient algorithmic processing.
4Manufacturing precision
If auxiliary points are added during roof modeling to handle complex structures, then the modeling accuracy is improved, but the loss of time in the modeling process increases
Solution Approach 1:
The patent eliminates the need for manual auxiliary point placement by implementing automatic algorithms that identify and process roof boundary vertices directly from 2D data. The system self-determines critical geometric points through coordinate analysis and automatically generates the necessary 3D vertices and edges, maintaining high roof modeling accuracy while eliminating the time loss associated with manual auxiliary point addition and subsequent removal.
Data Source
AI summary
The present invention relates to a high-accuracy automatic 3D modeling method for complex buildings, comprising the steps of: transforming the complex building to a complex polygon by using the topological structure of polygons firstly, transforming complex polygons to a set of triangles which are seamlessly spliced by programming an algorithm and accomplishing high-accuracy automatic 3D modeling of buildings.