3D Model Texturing via Geotagged Video Frame Extraction
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Solution Overview
Problem
The tedious and time-consuming nature of photo texturing in digital cartography limits the capacity to implement accurate 3D modeling of mapped areas, as it requires acquiring images from multiple angles, often necessitating physical travel and resulting in sub-optimal or unclear views.
Innovation Solution
A computer-implemented method and system that allows for the selection and application of a photo texture from a video resource to a 3D model, utilizing geolocation information to search and retrieve relevant video frames and areas for texture mapping, thereby streamlining the photo texturing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If photo texturing is performed using traditional methods requiring physical image acquisition from multiple angles, then the accuracy and quality of 3D model texturing is improved, but the time consumption and operational complexity increase significantly
Solution Approach 1:
The system pre-acquires video footage of the target object and stores it with geolocation metadata before the texturing operation. When texturing is needed, the system directly retrieves and processes the pre-captured video frames instead of requiring new image acquisition, thereby eliminating the time-consuming fieldwork while maintaining texturing accuracy through selective frame extraction and mapping.
2Manufacturing precision
If photo texturing requires traveling to the object to acquire images, then the quality of captured surfaces is improved, but the operational complexity and resource requirements increase
Solution Approach 1:
Instead of requiring operators to physically travel to objects for image capture, the system creates digital copies of the objects through pre-acquired video footage. These video copies are stored with geolocation metadata and can be repeatedly accessed and processed to extract high-quality texture frames, eliminating the need for repeated physical travel while maintaining surface capture quality.
Solution Approach 2:
The system introduces video footage as an intermediary medium between the object and the texturing process. Rather than directly capturing images from the object during texturing operations, the system uses pre-recorded video as an intermediate source, which can be processed, analyzed, and used to generate textures without requiring physical access to the original object.
3Manufacturing precision
If multiple images are acquired from different angles to ensure complete coverage, then the completeness of 3D model texturing is improved, but the quantity of images and processing complexity increase
Solution Approach 1:
The system dynamically selects and extracts individual frames from video footage based on the specific surface areas that need texturing. Rather than requiring a fixed set of images from multiple angles, the system can extract the precise number and type of frames needed from the video sequence, adapting the extraction process to the specific requirements of each texturing operation while ensuring complete surface coverage.
Data Source
AI summary
A method and system for applying photo texture acquired from a video resource to a 3D model operates within a 3D modeling system. The modeling system includes a modeling application operating on a workstation and a storage device containing a video resource. A 3D model is created or edited within the 3D modeling system. For a selected surface, the method and system allow selection of a video resource, selection of a video frame of the video resource, and selection of an area of the video frame to use as a photo texture to apply to the selected surface. The selected area of the video frame is copied and mapped to the selected surface of the 3D model.