3D Measurement Calibration Using Parameter Deviation Similarity
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Solution Overview
Problem
In three-dimensional image measurement systems, parameters such as camera position, lens focal length, and distortion coefficients vary due to oscillation or adjustment, making it difficult to identify and recalibrate these parameters efficiently.
Innovation Solution
An information processing apparatus generates deviation data for each parameter, calculates similarity between captured and registration images, and presents calibration information to quickly identify deviated parameters, reducing the time for recalibration and failure recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration is performed to ensure measurement precision, then parameter accuracy is improved, but calibration time and complexity increase
Solution Approach 1:
The system performs preliminary calibration to establish reference images and deviation data templates before actual measurement operations. When parameter deviations occur during operation, the pre-prepared reference data enables rapid comparison and identification of deviated parameters without performing full calibration procedures again, thus reducing calibration time while maintaining precision
Solution Approach 2:
The system creates copy representations of calibration data in the form of reference images and deviation templates. These copies allow for rapid comparison against current measurement data to identify parameter deviations, eliminating the need for time-consuming re-calibration while preserving measurement accuracy
2Reliability
If comprehensive calibration of all parameters is performed, then measurement reliability is improved, but operational complexity increases
Solution Approach 1:
The system extracts and identifies only the specific parameters that have deviated from their calibrated values by comparing current measurement data with reference data. Instead of requiring comprehensive re-calibration of all parameters, the system isolates and flags only the deviated parameters for correction, thereby maintaining reliability while reducing calibration complexity
Solution Approach 2:
The system continuously monitors measurement parameters and provides feedback by comparing current values against reference calibration data. When deviations are detected, the system automatically identifies which parameters have changed and presents this information to guide targeted recalibration, ensuring measurement reliability without requiring complex comprehensive calibration procedures
3Productivity
If parameter deviations are not identified, then system operation continues uninterrupted, but measurement accuracy deteriorates
Solution Approach 1:
The system implements continuous feedback monitoring by comparing current measurement parameters against reference calibration data. When deviations are detected, the system automatically identifies the affected parameters and alerts the operator, enabling timely correction before measurement accuracy deteriorates significantly, thus maintaining both system continuity and measurement precision
Data Source
AI summary
An information processing apparatus includes a first generation unit configured to generate deviation data for each of parameters of respective apparatuses relating to three-dimensional measurement, a second generation unit configured to generate deviation data based on a captured image of a target acquired using the parameters and a registration image of the target, an acquiring unit configured to acquire similarity between the deviation data generated by the second generation unit and the deviation data for each of the parameters generated by the first generation unit, and a presentation unit configured to present presentation information relating to calibration of the parameters based on the similarity.