Dynamic Master Image Management for Object Recognition Efficiency
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Solution Overview
Problem
Preparing a large number of master images for object recognition increases processing time and decreases efficiency, as existing techniques require extensive comparison with captured images.
Innovation Solution
An image management apparatus that acquires target images, determines similar master images, and updates master information based on similarity and suitability, adding or prioritizing images with higher suitability while deleting less suitable ones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of master images are prepared for object recognition, then recognition accuracy is improved, but processing time increases and efficiency decreases
Solution Approach 1:
The patent changes the parameter of master image management by introducing suitability evaluation and dynamic updates. Instead of statically maintaining a large collection of master images, the system dynamically adjusts the master image set based on suitability scores, replacing less suitable images with more suitable ones from captured images. This parameter change allows the system to maintain high recognition accuracy while reducing the effective number of master images needed for comparison.
Solution Approach 2:
The patent implements feedback by continuously evaluating the suitability of captured images as master images and using this evaluation to update the master image database. The feedback loop involves: capturing images, evaluating their suitability as master images, comparing them with existing master images, and updating the database accordingly. This feedback mechanism ensures that the master image set remains optimized for recognition accuracy while improving processing efficiency.
2Measurement precision
If a large number of master images are prepared for different viewing angles, then recognition accuracy is improved, but the time required to compare with captured images increases
Solution Approach 1:
The patent applies partial action by selectively using master images based on their suitability scores rather than universally comparing all captured images with all master images. The system evaluates the suitability of captured images as potential master images and only uses those with high suitability scores for recognition comparisons. This partial action approach reduces the effective comparison time while maintaining recognition accuracy by focusing on the most relevant master images.
Data Source
AI summary
An image management apparatus (2000) acquires a target image (10) acquired by capturing an image of a target object (12). The image management apparatus (2000) determines, from among master information (20), a master image (24) whose degree of similarity to the target image (10) is high. The image management apparatus (2000) compares suitability as a master image between the target image (10) and the determined master image (24) (a similar master image), and updates the master information (20), based on a comparison result. Specifically, the image management apparatus (2000) adds the target image (10) to the master information (20) as a master image when the target image (10) has higher suitability. Further, in this case, the image management apparatus (2000) deletes the similar master image from the master information (20), or assigns, to the target image (10), a higher degree of priority than a degree of priority assigned to the similar master image.