Geolocated 3D Model Photo Texturing via Image Database
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Solution Overview
Problem
The tedious and time-consuming nature of photo texturing in digital cartography limits the ability to accurately model and texture 3D models of real-world objects, as it requires acquiring and aligning images from multiple angles, often necessitating physical travel to remote or inaccessible locations.
Innovation Solution
A computer-implemented method and system that utilizes geolocation information to automatically select and apply photographic images to corresponding surfaces of 3D models, allowing for the efficient photo texturing of 3D models by identifying suitable images from a database of geotagged images and transforming their coordinates to match the model's surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional photo texturing methods are used to accurately model and texture 3D models, then the accuracy of surface textures is improved, but the time and effort required for acquiring and aligning images from multiple angles increases significantly
Solution Approach 1:
The system automatically performs photo texturing by using geolocation data to identify and apply appropriate textures to 3D models without requiring manual image acquisition or alignment. The automated approach leverages existing geotagged imagery databases to serve the texturing need, eliminating the time-consuming manual process while maintaining accuracy.
Solution Approach 2:
The patent uses copies of existing geotagged images from databases to texture 3D models rather than requiring original images to be captured. By retrieving and applying appropriate texture copies from pre-existing geolocated imagery, the system achieves accurate texturing without the time investment of acquiring new images from multiple angles.
2Manufacturing precision
If images are acquired from multiple angles to achieve accurate photo texturing, then the quality of 3D model representation is improved, but the complexity of the process and requirement for physical travel increases
Solution Approach 1:
The system automatically determines which textures to apply and from which angles, eliminating the need for manual image acquisition from multiple angles. The automated algorithm uses geolocation data to select appropriate textures, reducing the process to simple model creation without complex image collection operations.
Solution Approach 2:
The patent introduces geolocation data as an intermediary that connects 3D models to appropriate textures. Instead of directly acquiring images from multiple angles, the system uses geolocation information as a mediator to retrieve suitable textures from databases, simplifying the overall process while maintaining representation quality.
3Manufacturing precision
If manual selection and alignment of images is performed to photo texture surfaces, then the accuracy of texture application is improved, but the ease of operation and productivity are reduced
Solution Approach 1:
The system performs texture selection and application automatically without requiring manual intervention. The automated process uses geolocation data to identify and apply appropriate textures, maintaining accuracy while dramatically improving productivity by eliminating manual image selection and alignment tasks.
Solution Approach 2:
The patent replaces the mechanical manual process of selecting and aligning images with an automated computational system. By substituting manual operations with algorithmic processing of geolocation data, the system achieves both accurate texture application and high productivity without human intervention in the technical tasks.
Data Source
AI summary
A method and system for applying photo texture to geolocated 3D models operates within a 3D modeling system. The modeling system includes a modeling application operating on a workstation and a database of geotagged imagery. A 3D model created or edited within the 3D modeling system is geolocated such that every point in the 3D modeling space corresponds to a real world location. For a selected surface, the method and system search the database of imagery to identify in the database one or more images depicting the selected surface of the 3D model. The method and system identify the boundaries of the selected surface within the image by transforming two or more sets of coordinates from the 3D modeling space to a coordinate space corresponding to the image. The portion of the image corresponding to the selected surface is copied and mapped to the selected surface of the 3D model.