3D Building Modeling Using Photogrammetry and Lot Boundaries
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Solution Overview
Problem
Existing three-dimensional modeling techniques using photographic images alone often fail to produce accurate models of buildings due to insufficient information, particularly in defining the building's height and lot boundaries.
Innovation Solution
A computer-implemented method that combines two-dimensional photographic images with building lot information, using camera parameters and photogrammetry to determine the building's height and legal boundaries, thereby constructing a more accurate three-dimensional model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If photographic images alone are used to construct three-dimensional models, then the modeling process can be simplified, but the accuracy of the model deteriorates due to insufficient information about building height and lot boundaries
Solution Approach 1:
The patent combines multiple data sources including photographic images, camera parameters, building lot information, and boundary data into an integrated three-dimensional modeling system. This merging of diverse data types allows the system to achieve both ease of operation and high accuracy by automatically synthesizing information from multiple sources rather than relying on a single data type.
Solution Approach 2:
The system is designed to process and integrate multiple types of data (photographic images, metadata, lot boundaries, height information) through a unified modeling framework. This multi-functional approach allows the same system to handle various data sources and produce accurate three-dimensional models without requiring separate processing pipelines for each data type.
2Manufacturing precision
If additional data sources like RADAR, LIDAR, SONAR, and lot boundaries are incorporated, then the accuracy of the three-dimensional model improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the data processing into distinct modules: photographic image processing, camera parameter extraction, building lot information retrieval, boundary data processing, and three-dimensional model synthesis. This segmentation allows each component to handle specific data types independently, reducing overall system complexity while maintaining high accuracy through the integration of multiple processed data streams.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy and automation of building modeling by incorporating additional data sources like RADAR, LIDAR, or SONAR, and lot boundaries, resulting in more representative and precise three-dimensional models.
Implementation Method 1
By combining photographs of the building and information associated with the photographs with photogrammetry algorithms, it becomes possible to use multiple photographs to create a visually appealing three-dimensional model.
Data Source
AI summary
Embodiments combine at least two photographic images of a building as well as camera parameters associated with the images with information about the legal boundaries of a lot associated with the building in order to construct a three-dimensional model of the building.