Tracked 3D Scanning for Threshold-Triggered 2D Image Capture
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Solution Overview
Problem
Existing 3D scanning processes require numerous manual user inputs and redundant 2D image captures, making the process inefficient and time-consuming.
Innovation Solution
A system that tracks 3D scanning data to automatically trigger 2D image capture when a predetermined number of new 3D data points are obtained, ensuring comprehensive 2D image coverage of a 3D object without additional user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual user inputs are used to capture 2D images during 3D scanning, then comprehensive image coverage can be achieved, but the process becomes inefficient and time-consuming
Solution Approach 1:
The system automatically determines when to capture 2D images by monitoring 3D data point accumulation and comparing it against threshold values, eliminating the need for manual user intervention. The processor autonomously decides image capture timing based on whether new 3D data points exceed predetermined thresholds, allowing the system to serve itself rather than requiring user control
Solution Approach 2:
The system continuously monitors the accumulation of 3D data points and uses this feedback to dynamically control the 2D image capture process. By comparing the number of new 3D data points against predetermined thresholds, the system adjusts its capture strategy in real-time, creating a closed-loop control system that optimizes both coverage and efficiency
2Measurement precision
If numerous 2D images are captured to ensure comprehensive coverage, then full object representation is achieved, but redundant images are created wasting computing resources
Solution Approach 1:
The system captures 2D images selectively based on partial action principles by using predetermined thresholds to determine when enough 3D data points have been accumulated to warrant an image capture. This prevents excessive image capture while ensuring sufficient coverage by triggering captures only when meaningful new information is detected in the 3D scan data
3Ease of operation
If automatic image capture is implemented, then user interaction is simplified, but control over image selection is reduced
Solution Approach 1:
The system allows flexibility in image selection control by enabling adjustment of the predetermined threshold parameters. Users can modify these thresholds to balance between automatic operation and selective control, allowing the same automatic capture mechanism to adapt to different needs by changing numerical parameters rather than fundamentally altering the system architecture
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.