3D Coordinate Measurement Reliability Correction
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Solution Overview
Problem
Existing image processing techniques for calculating three-dimensional coordinates from images obtained from different viewpoints face accuracy issues when the reliability of correspondence points is low, leading to inaccurate measurements.
Innovation Solution
An image processing apparatus and method that acquires multiple images, sets a measurement point, calculates correspondence points, and if the reliability is below a threshold, sets an alternative measurement point with higher reliability for accurate three-dimensional coordinate calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correspondence points are calculated using multiple matching methods, then measurement precision can be improved, but measurement reliability deteriorates when matching reliability is low
Solution Approach 1:
The system automatically detects low-reliability correspondence points and performs self-correction by identifying alternative measurement points, eliminating the need for user intervention. The apparatus autonomously evaluates matching reliability and replaces unreliable points with alternative points that satisfy predetermined reliability conditions.
Solution Approach 2:
The system calculates matching reliability for each correspondence point and uses this feedback to determine whether to replace the point. When reliability falls below a threshold, the system searches for alternative measurement points and iteratively improves the selection until reliability requirements are met, creating a closed-loop quality control mechanism.
2Productivity
If correspondence points with low reliability are used for calculation, then calculation speed is maintained, but measurement precision deteriorates
Solution Approach 1:
The system performs preliminary evaluation of matching reliability for all correspondence points before using them in three-dimensional coordinate calculations. By pre-identifying and replacing low-reliability points with alternative measurement points, the system ensures that only high-reliability data enters the calculation process, maintaining both speed and accuracy.
3Reliability
If alternative measurement points are automatically set when reliability is low, then measurement reliability is improved, but device complexity increases
Solution Approach 1:
The image processing apparatus integrates multiple functions into a unified system: it performs initial correspondence point calculation, evaluates matching reliability, identifies alternative measurement points, and iteratively selects optimal points. This multi-functional integration achieves high measurement reliability without proportionally increasing system complexity.
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
This approach ensures high accuracy in calculating three-dimensional coordinates by selecting alternative measurement points with higher reliability, reducing user burden and improving measurement precision.
Implementation Method 1
there is known a technique which obtains three-dimensional coordinates of a subject by the principle of triangulation based on positional deviations of those images obtained from different viewpoints
Data Source
AI summary
An image processing apparatus includes at least one circuit. The at least one circuit acquires a plurality of images, including at least a first image and a second image obtained by photographing a subject from different viewpoints, acquires an instruction from a user, sets on the first image a measurement point for which three-dimensional coordinates of the subject are required, based on the instruction, calculates a correspondence point which is on the second image and which corresponds to the measurement point, by matching, calculates a reliability of the matching between the measurement point and the correspondence point as a measurement point reliability, and sets on the first image an alternative measurement point enabling a reliability higher than that of the measurement point reliability, instead of the measurement point, if the measurement point reliability is less than a predetermined threshold value.