Imaging Support Control for High-Overlap Composite Capture
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Solution Overview
Problem
Existing imaging systems struggle to determine an imaging target region with a high degree of freedom for achieving an overlap ratio greater than a predetermined threshold with captured images, limiting the efficiency of image composition.
Innovation Solution
An imaging support device and method that extracts overlap candidate images based on position information of captured images and the imaging device, derives an overlap ratio, and outputs signals to adjust the imaging device for optimal overlap, allowing for the generation of composite images with desired overlap ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the imaging device processes multiple captured images to determine overlap ratios, then the accuracy of composite image generation is improved, but the processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary actions by extracting position information and identifying candidate overlap images before calculating overlap ratios. By pre-processing the image set to identify which images are likely to overlap based on position data, the system reduces the number of images requiring detailed overlap analysis, thus improving accuracy while reducing processing time.
Solution Approach 2:
The image processing is segmented into distinct stages: position information extraction, candidate overlap image identification, overlap ratio calculation, and composite image generation. This segmentation allows the system to focus computational resources on critical steps while efficiently handling less demanding steps, resolving the contradiction between accuracy and processing time.
2Reliability
If the system extracts position information from all captured images to find overlap candidates, then the completeness of overlap detection is improved, but the device complexity and processing load increase
Solution Approach 1:
Position information is extracted as preliminary data from all captured images before overlap analysis begins. This pre-extraction creates a foundation for efficient candidate identification without requiring complex real-time analysis during the overlap detection phase, maintaining completeness while managing system complexity.
Solution Approach 2:
Position information serves as an intermediary element that mediates between the captured images and the overlap detection process. By using position data as an intermediate layer, the system can identify candidate overlap images efficiently without directly comparing all image pairs, thus reducing processing complexity while maintaining detection completeness.
3Manufacturing precision
If the imaging device adjusts position and posture to optimize overlap ratio, then the quality of composite images is improved, but the operation time and positioning complexity increase
Solution Approach 1:
The system implements feedback by calculating overlap ratios for candidate images and using this information to determine optimal positioning adjustments. The feedback loop allows the imaging device to automatically adjust its position and posture based on quantitative overlap measurements, improving composite image quality while managing operational complexity through automated control.
Solution Approach 2:
The system changes positioning parameters (position and posture) based on calculated overlap ratios to optimize composite image quality. By systematically adjusting these parameters rather than requiring manual optimization, the system improves image quality while keeping operations manageable through automated parameter optimization.
Data Source
AI summary
An imaging support device includes a processor, the processor being configured to: extract, based on first position information related to a position of each of a plurality of captured images and on second position information related to a position of an imaging device, an overlap candidate image, which is a candidate to be overlapped with an imaging target region of the imaging device, from the plurality of captured images; derive an overlap ratio between the imaging target region and the overlap candidate image; and output a first signal to the imaging device in a case where the overlap ratio is equal to or greater than a predetermined overlap ratio.