Stereo Camera Calibration Detection via Vertical Misalignment
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Solution Overview
Problem
Existing information processing technologies face challenges in maintaining accuracy when imaging parameters change due to environmental or device-related factors, making it difficult for users to recognize the need for calibration, which can lead to reduced performance if not addressed promptly.
Innovation Solution
An information processing device that detects target objects from stereoscopic images and determines the need for camera calibration based on vertical position misalignment, notifying the user and allowing for timely calibration to maintain accuracy with minimal user effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user is prompted to perform calibration periodically, then the accuracy of information processing is maintained, but the user burden and time consumption increase
Solution Approach 1:
The system continuously monitors the vertical position alignment between stereoscopic images and provides feedback about calibration status. The calibration determining section evaluates alignment conditions and notifies the user only when calibration is actually needed, creating a feedback loop that maintains accuracy without requiring periodic manual calibration.
Solution Approach 2:
The system performs self-diagnosis by automatically evaluating whether calibration is needed through the calibration determining section. This self-service mechanism reduces user burden by eliminating the need for users to manually determine when calibration is required, while still maintaining processing accuracy.
2Adaptability or versatility
If imaging parameters change due to environmental or device factors, then the device adapts to different conditions, but the accuracy of information acquisition deteriorates
Solution Approach 1:
The system uses feedback from continuous monitoring of vertical position alignment to detect when imaging parameter changes have affected accuracy. The calibration determining section evaluates whether environmental or device changes have caused misalignment, and notifies the user to recalibrate when necessary.
Solution Approach 2:
The patent replaces manual calibration mechanisms with an automated detection system. Instead of requiring users to mechanically adjust or recalibrate the system, the calibration determining section automatically detects alignment status and triggers calibration notifications, substituting mechanical adjustment with intelligent monitoring.
3Productivity
If the user is not notified of calibration needs, then the device operates continuously without interruption, but the accuracy of information processing deteriorates unnoticed
Solution Approach 1:
The system provides feedback notifications to the user when calibration is needed, while allowing continuous operation in between. The output notifying section communicates calibration status without interrupting the information processing workflow, enabling users to maintain productivity while staying informed about accuracy issues.
Solution Approach 2:
The system performs preliminary evaluation of alignment conditions through the calibration determining section before accuracy deteriorates significantly. By detecting misalignment early and notifying users in advance, the system enables timely calibration while maintaining continuous productive operation.
Data Source
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AI summary
An information processing device 10 causes an information processing section 62 to perform information processing of a game for example, based on a user's operation received by an input information acquiring section 50 and on images acquired by a stereo camera and obtained through an acquired image obtaining section 52. The information processing device 10 causes an output data generating section 66 to output the result of the information processing to a display device. At this point, a tracking processing section 54 detects corresponding marker images from stereoscopic images and, based on a parallax therebetween, obtains position information about a target object. In accordance with vertical position misalignment between the detected marker images, a calibration determining section 64 determines whether camera calibration is needed and requests the output data generating section 66 to notify the user of the determined need.