Image Alignment Error Evaluation and Pattern Position Update
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Solution Overview
Problem
Manual alignment of imaged images from multiple cameras is time-consuming and lacks accuracy, especially when creating composite images of moving images, as it relies heavily on the operator's proficiency and is prone to errors.
Innovation Solution
An information processing apparatus with a calculation section that evaluates the error occurrence rate in image alignment using a pattern irradiated between imaged images and updates the irradiated position based on an evaluation value, calculated from error magnitude, feature amounts, and relative posture, to enhance alignment accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment is performed by an operator, then alignment can be performed with some accuracy, but it takes an enormous amount of time and the accuracy depends on the operator's proficiency
Solution Approach 1:
The patent replaces the manual mechanical alignment process with an automated computer-based system that uses image processing algorithms to detect correspondence points and calculate alignment transformations, eliminating the need for manual operator intervention while achieving consistent high accuracy
Solution Approach 2:
The alignment system performs self-alignment by automatically detecting features in the images, calculating correspondence points, and applying transformations without external human assistance, making the process both faster and more consistent
2Reliability
If manual alignment is performed, then alignment can be completed, but the accuracy cannot be necessarily sufficiently performed as it depends on the proficiency of the worker
Solution Approach 1:
The patent replaces the human operator's manual alignment process with an automated computer-based system that uses consistent algorithms and objective image processing techniques, eliminating variability due to operator skill levels and ensuring reliable, repeatable results
3Measurement precision
If pattern is irradiated for alignment between imaged images, then alignment accuracy can be improved, but the system complexity increases with evaluation and update mechanisms
Solution Approach 1:
The patent implements a feedback mechanism where the system evaluates alignment results using calculated evaluation values and automatically updates the irradiated pattern position based on this evaluation, creating a closed-loop system that iteratively improves alignment accuracy
Solution Approach 2:
The system performs self-optimization by automatically evaluating alignment quality and adjusting the pattern irradiation position without requiring external intervention, making the complexity management automated rather than manual
Data Source
AI summary
The present disclosure relates to an apparatus and a method for information processing enabling alignment between imaged images to be more accurately performed. With respect to a detection result of a correspondence point between an imaged image including a pattern irradiated for alignment with other imaged image, and the other imaged image including the pattern, an evaluation value with which an occurrence rate of an error in the alignment when the imaged image and the other imaged image are composed with each other is evaluated is calculated; and an irradiated position of the pattern is updated on the basis of the evaluation value calculated. The present disclosure, for example, can be applied to an information processing apparatus, an irradiation device, an imaging apparatus, an irradiation imaging apparatus, a controller, an imaging system or the like.