Construction Image Feature Alignment for Unit Structure Recognition
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Solution Overview
Problem
Existing image processing techniques struggle with accurate extraction of image elements from captured images of constructions like steel towers, especially when affected by incidental phenomena such as wind, and fail to comprehensively recognize unit structures and members constituting the construction.
Innovation Solution
An information processing device that includes a feature detection unit to identify features in construction images, a unit structure estimation unit to recognize unit structures, and a cluster association unit to align positions with design data, enhancing the accuracy of image element extraction and panoramic image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing techniques are used to extract image elements from construction images, then processing speed is maintained, but extraction accuracy deteriorates due to incidental phenomena like wind affecting the captured images
Solution Approach 1:
The patent introduces design data as an intermediary reference to bridge the captured image and the actual construction. By comparing extracted image elements with design data, the system can verify and correct extraction accuracy even when incidental phenomena like wind affect the captured image quality.
Solution Approach 2:
The system establishes a feedback loop where extraction results are compared against design data, and the comparison outcomes are used to refine and correct the extraction process. This feedback mechanism enables continuous improvement of extraction accuracy despite environmental disturbances.
2Adaptability or versatility
If conventional image processing is used, then device complexity is low, but the ability to comprehensively recognize unit structures and members deteriorates
Solution Approach 1:
The patent segments the construction image processing into distinct functional modules: feature extraction unit, unit structure recognition unit, and design data comparison unit. This segmentation allows each module to specialize in specific tasks, enhancing overall recognition capability while managing system complexity through modular design.
Solution Approach 2:
The system integrates multiple functions into a unified processing framework that simultaneously performs feature extraction, unit structure recognition, and design compliance verification. This multi-functionality approach enables comprehensive recognition capabilities without requiring separate dedicated systems for each function.
3Measurement precision
If multiple captured images are processed to improve recognition accuracy, then extraction precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary processing by pre-aligning and pre-comparing captured images against design data before full analysis. This preliminary action identifies and eliminates obviously incorrect extractions early in the process, reducing the computational burden and time required for comprehensive multi-image analysis.
Data Source
AI summary
An information processing device 1 includes a feature detection unit 28 for detecting, from a construction image acquired by an imaging device by capturing an image of a construction that includes a plurality of unit structures respectively having identical or similar external structures, a feature relating to the external structures, and a unit structure estimation unit 29 for estimating parts of the construction image that correspond respectively to the plurality of unit structures included in the construction on the basis of a plurality of the detected features.