Tracked 3D Scanning for Threshold-Based 2D Image Capture
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Solution Overview
Problem
Existing 3D scanning methods require numerous manual user inputs and redundant 2D image captures, making the process inefficient and time-consuming for generating comprehensive 2D images of 3D objects.
Innovation Solution
A system and method that tracks 3D scanning data to automatically trigger 2D image capture when a predetermined number of new 3D data points are obtained, ensuring full coverage of the 3D object without additional user input, using a processing unit to associate 2D images with 3D scanning data and generate a complete 3D model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual user inputs and redundant 2D image captures are used to ensure comprehensive coverage, then complete 2D image coverage is achieved, but the process becomes inefficient and time-consuming
Solution Approach 1:
The system continuously monitors the 3D scanning data and automatically determines when sufficient new data points have been captured. This feedback mechanism triggers automatic 2D image capture only when necessary, eliminating redundant manual operations while ensuring complete coverage of the 3D object.
Solution Approach 2:
The system performs self-assessment of data completeness by evaluating new 3D data points against existing scan data. It autonomously decides when to capture additional 2D images without requiring manual user input, making the process self-sufficient and highly efficient.
2Loss of information
If numerous 2D images are captured to ensure full coverage, then comprehensive 2D representation is achieved, but redundant image captures increase time consumption
Solution Approach 1:
Instead of capturing all possible 2D images, the system captures only the partial set necessary to achieve complete 3D object coverage. By using 3D scanning data to identify unique perspectives, it avoids excessive image capture while ensuring no information is lost.
3Ease of operation
If automatic image capture is implemented, then user input is minimized, but ensuring full coverage requires sophisticated tracking and threshold mechanisms
Solution Approach 1:
The system performs preliminary 3D scanning to establish a baseline of the object's geometry before triggering 2D image capture. This preliminary action simplifies subsequent automatic capture decisions by providing advance information about the object structure and required coverage areas.
Data Source
AI summary
The present disclosure provides image generation systems and methods. The image generation method includes capturing a first 2D image corresponding to a first perspective of a 3D object, and associating the first 2D image with a set of 3D scanning data, the set of 3D scanning data comprising 3D data points corresponding to the first perspective of the 3D object. The method includes obtaining new 3D data points to include in the set of 3D scanning data from a subsequent perspective of the 3D object, the new 3D data points being non-overlapping with 3D data points already in the set of 3D scanning data. The method further includes, responsive to determining that a number of the new 3D data points exceeds a predetermined threshold, automatically capturing a subsequent 2D image corresponding to the subsequent perspective, and associating the subsequent 2D image with the new 3D data points.