Training Image Scaling for Consistent Lensless Camera Blur
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Solution Overview
Problem
Conventional methods for creating training data sets for machine learning models using lensless cameras result in blurred images that vary with distance, leading to reduced recognition accuracy and privacy concerns due to inconsistent blurring degrees.
Innovation Solution
An information processing system that adjusts the display size of training images based on the distance between the display and imaging device to maintain a consistent size of captured images, capturing multiple blurred images at varying distances to create a diverse training data set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a lensless camera captures an image displayed on a display to create a training dataset, then subject privacy is protected through blurring, but recognition accuracy of the machine learning model deteriorates due to inconsistent blurring at different distances
Solution Approach 1:
The patent changes the display size parameter of the first training image based on the distance between the display device and imaging device. By adjusting the display size according to distance, the system maintains consistent blurring levels in the captured images across different distances, thereby improving recognition accuracy while preserving privacy protection through controlled blurring.
2Ease of operation
If the display size of the first training image is not adjusted when distance changes, then the system is simpler to operate, but the size of the second training image varies with distance reducing dataset quality
Solution Approach 1:
The patent introduces dynamic adjustment of the display size based on the measured distance between the display device and imaging device. The display control unit dynamically changes the display size of the first training image according to the distance, ensuring that the second training image maintains consistent size and blurring characteristics regardless of the physical distance, thereby improving dataset quality.
3Measurement precision
If multiple distances are used to create diverse blurring levels in the dataset, then recognition accuracy improves, but the complexity of the system increases
Solution Approach 1:
The patent implements a feedback mechanism where the distance between the display device and imaging device is measured, and this measured distance is used to adjust the display size of the first training image. This feedback loop ensures that the system automatically adapts to different distances and maintains consistent blurring levels, improving recognition accuracy without requiring complex manual configuration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves recognition accuracy of machine learning models while protecting subject privacy by ensuring consistent blurring across captured images, enhancing the training data quality.
Implementation Method 1
an imaging device that acquires a blurred image by imaging
Data Source
AI summary
An imaging control device includes an image acquiring part that acquires a first training image of a machine learning model, a display control part that causes a display device to display the first training image based on a distance between the display device and an imaging device that acquires a blurred image, an imaging control part that causes the imaging device to capture the first training image to acquire a second training image, and a storage control part that stores a data set including a set of the second training image and correct answer information. The display control part changes, when the distance is changed, a display size of the first training image so that a size of the second training image acquired by the imaging device is maintained. The imaging control part causes the imaging device to capture the first training image when the distance is changed.