Adaptive Iris Distance Focal Length Correlation Update
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Solution Overview
Problem
Existing systems for automatically adjusting camera focal length, particularly in iris cameras, face challenges in achieving optimal focus due to variations in iris distance and environmental conditions, leading to suboptimal image quality.
Innovation Solution
An information processing system that includes a distance acquisition unit to specify and measure the iris distance, an iris image acquisition unit to adjust the focal length based on the iris distance, a score computing unit to assess focus deviation in the acquired iris image, and a correlation update unit to adjust the correlation between iris distance and focal length based on the focus score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the focal length is adjusted based on predetermined correlation between iris distance and focal length, then the focus adjustment process is simplified, but image quality deteriorates due to individual lens differences and environmental changes
Solution Approach 1:
The system captures an iris image at the focal length determined from the distance-focal length correlation, evaluates focus accuracy using a score computing unit, and feeds back this evaluation to update the correlation. This closed-loop feedback mechanism allows the system to automatically refine the correlation between iris distance and focal length, resolving the contradiction between simplified operation and image quality by making the correlation adaptive rather than static.
Solution Approach 2:
The system changes the correlation parameters between iris distance and focal length based on actual imaging results. By dynamically adjusting these parameters through the score-based evaluation and update mechanism, the system adapts to individual lens characteristics and environmental conditions, thereby maintaining high image quality while preserving the simplicity of the focus adjustment process.
2Device complexity
If a fixed correlation table is used for iris distance and focal length, then device complexity is reduced, but adaptability deteriorates due to environmental changes and individual lens variations
Solution Approach 1:
The system transforms the static correlation table into a dynamic one that automatically updates based on actual imaging conditions. The score computing unit evaluates focus accuracy in real-time, and the correlation update unit adjusts the correlation parameters accordingly. This dynamic adaptation allows the system to maintain low complexity while significantly improving adaptability to environmental changes and individual lens characteristics.
Solution Approach 2:
The system performs self-calibration by using its own imaging results to update its correlation data. The score computing unit and correlation update unit work together to automatically refine the distance-focal length relationship without external intervention, enabling the system to adapt to environmental changes and lens variations while keeping the device structure simple.
3Ease of manufacture
If the focal length is adjusted without considering individual lens differences, then the system is easier to manufacture, but measurement precision deteriorates due to lens variations
Solution Approach 1:
The system allows the correlation parameters to change based on actual performance rather than being fixed during manufacturing. By using the score-based evaluation to update the correlation between iris distance and focal length, the system compensates for individual lens differences while maintaining standardized manufacturing processes. This approach preserves ease of manufacture while significantly improving measurement precision.
4Stability of the object's composition
If the correlation data is not updated, then system stability is maintained, but image quality deteriorates due to environmental changes
Solution Approach 1:
The system implements a feedback mechanism that continuously monitors image quality through the score computing unit and automatically updates the correlation data when improvements are detected. This controlled updating process maintains system stability by only modifying the correlation when actual imaging performance justifies the change, thereby resolving the contradiction between stability and image quality adaptation.
Data Source
AI summary
An information processing system (10) comprises: a distance acquisition unit (110) that specifies an iris area containing an iris of a target from a visible-light image of the target, and acquires an iris distance that is a distance to the iris area; an iris image acquisition unit (120) that acquires an iris image of the target by changing a focal length according to the iris distance; a score computing unit (130) that calculates a score relating to deviation of a focus in the iris image, based on the iris image; and a correlation update unit (140) that updates correlation between the iris distance and the focal length at a moment of acquisition of the iris image, based on the score. According to such an information processing system, since the correlation is updated with good accuracy, it is possible to acquire the appropriate iris image.