3D Measuring Apparatus Homography Range Display
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Solution Overview
Problem
Existing three-dimensional measurement systems face challenges in accurately determining the range where the viewing fields of multiple cameras overlap, making it difficult for users, especially those without expertise, to adjust cameras correctly for precise measurements.
Innovation Solution
The method involves using homography matrices to express the coordinate relation between cameras, allowing conversion of image coordinates across cameras, and displaying a measurable range on images to facilitate user recognition of suitable measurement settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the apparatus uses trial and error adjustment method, then users without expertise can operate the system, but the adjustment operation becomes time and labor consuming
Solution Approach 1:
The system pre-calculates and displays the measurable range on the image pickup surface before actual measurement begins. By showing users where measurements are possible in advance, they can adjust cameras without trial-and-error, directly positioning objects within the displayed measurable range.
Solution Approach 2:
The measurable range display acts as an intermediary between the complex camera coordinate systems and the user. Instead of requiring users to understand multiple camera viewing fields and coordinate transformations, the system translates this complexity into a simple visual indicator on the image pickup surface showing where measurements are possible.
2Measurement precision
If the system requires all points to be included in viewing fields of all cameras, then measurement accuracy is maintained, but it becomes highly difficult to recognize the overlapping range
Solution Approach 1:
The system introduces a measurable range display on the image pickup surface as an intermediary that translates the complex multi-camera viewing field overlap into a simple visual indicator. Users can see exactly where measurements are possible without needing to understand or calculate the overlapping viewing fields themselves.
Solution Approach 2:
The system extracts and displays only the measurable range information on the image pickup surface, separating this critical information from the complex camera coordinate system relationships. This allows users to focus solely on positioning objects within the displayed range without being overwhelmed by system complexity.
3Ease of manufacture
If users adjust cameras based on estimated height ranges, then setup is simplified, but the accuracy of three-dimensional measurement cannot be secured
Solution Approach 1:
The system performs preliminary calculation of the measurable range on the image pickup surface before measurement begins. This pre-displayed information guides users to correctly position objects, ensuring measurement accuracy is achieved without requiring users to perform complex height range calculations or adjustments.
Solution Approach 2:
The measurable range display provides visual feedback to users about where measurements are possible. Users can see the relationship between the displayed range and their object positioning, allowing them to adjust camera or object positions to ensure the object falls within the measurable range for accurate three-dimensional measurement.
Data Source
AI summary
After calibration for three-dimensional measurement has been completed, specification of a range of height to be measured is accepted, and using a homography matrix corresponding to the specified range on each of the images A0 and A1 from respective cameras, a range is extracted where a point included in the viewing fields of both of the cameras appears among points in the specified height range. Further, the extracted range is color-displayed as a measurable range on each of the images A0 and A1.