Camera Calibration for Accurate Position Acquisition With Low User Burden
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Solution Overview
Problem
Existing technologies face challenges in accurately and quickly acquiring information from photographed images due to varying household environments, leading to increased user burden in camera setup and reduced device performance.
Innovation Solution
An information processing device and method that performs camera calibration stepwise, reducing user burden by determining necessary measures based on individual situations and displaying information as needed, allowing calibration to be completed without user awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera calibration is performed with high accuracy requirements, then position information acquisition accuracy is improved, but user burden increases
Solution Approach 1:
The camera calibration is performed automatically by the information processing device without requiring user intervention. The device captures images, detects feature points, calculates optical axis deviation, and completes calibration autonomously, eliminating the need for users to manually adjust photographing environments while maintaining high calibration accuracy
Solution Approach 2:
The system performs camera calibration in advance before actual position information acquisition. By pre-acquiring optical axis deviation and other calibration parameters, the system ensures accurate position measurement is ready when needed, without requiring users to perform setup procedures at the moment of use
2Reliability
If comprehensive camera calibration is performed, then device performance is improved, but setup time increases
Solution Approach 1:
The system performs complete camera calibration procedures before actual operation. All necessary parameters including optical axis deviation are acquired in advance, ensuring the device is fully prepared and optimized for accurate position information acquisition when needed
Solution Approach 2:
The patent replaces manual mechanical calibration procedures with automated image-based calibration. By using computer vision algorithms to detect feature points and calculate calibration parameters from captured images, the system eliminates time-consuming manual adjustments while maintaining comprehensive calibration quality
Data Source
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AI summary
When a device is started up in the first time, for example, an initial image and various kinds of information are displayed and setting inputs are received (S12 and S14). In parallel with the above, a photographed image is acquired and calibration is performed. At this time, first, if there is no need for measures by a user such as a direction of a camera is corrected, the calibration is performed (N in S18 and S24). If the measures by the user are needed (Y in S18) or the calibration is ended unsuccessfully (N in S26), the stage number n is advanced by one, and the calibration is repeated while presenting information on the measures in the order of a low burden on the user (S22 and S24).