Calibration Chart Stabilizes Image Recognition Accuracy
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Solution Overview
Problem
The recognition accuracy of real objects in information processing systems is unstable due to variations in object colors caused by image pickup environments, leading to incorrect object identification.
Innovation Solution
An image pickup apparatus that adjusts image pickup and processing conditions based on color information from a calibration chart with multiple luminance regions, ensuring accurate color representation and reducing confusion between similar colors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color information from picked up images is used for object recognition, then object identification can be performed, but recognition accuracy becomes unstable due to color variations caused by illumination and material differences
Solution Approach 1:
The system performs preliminary color calibration by capturing images of a calibration chart with known color values before actual object recognition. This preliminary action establishes reference data that compensates for illumination and environmental variations, enabling stable and accurate recognition subsequent to calibration.
Solution Approach 2:
The system changes the parameter set used for recognition from raw color values to calibrated color values that have been adjusted based on the calibration chart. By transforming the color parameters through calibration, the system eliminates the influence of illumination and material variations, achieving both accuracy and stability.
2Measurement precision
If standard image pickup conditions are used without adjustment, then the system is simple to operate, but color accuracy varies depending on illumination and environment
Solution Approach 1:
The system performs automatic calibration by autonomously capturing images of the calibration chart, computing color correction parameters, and applying adjustments without requiring manual intervention. This self-service approach maintains ease of operation while significantly improving color accuracy through environmental adaptation.
Solution Approach 2:
The system automatically adjusts image pickup parameters such as exposure time and gain based on the calibration results, transforming the operation from manual parameter setting to automatic optimization. This maintains simplicity for the user while achieving accurate color representation across different lighting conditions.
Data Source
AI summary
A mat for an image pickup apparatus, where the image pickup apparatus operates to recognize a real object, the mat includes: a play field that defines a bottom region of a space in which the real object is placed; and a calibration chart located in the space and having a plurality of color regions in which respective luminances thereof differ from one another, where: the image pickup apparatus: (i) obtains data of a picked up image of the space in which the real object is located; and (ii) evaluates the picked up image and adjusts at least one of an image pickup condition in which the picked up image of the space is taken, and a processing condition in which the data are analyzed to recognize the real object, and at least one of the image pickup condition and the processing condition are adjusted based on color information in the data of the picked up image resulting from the plurality of color regions of the calibration chart.