Far-Infrared Camera Calibration Using Temperature-Differentiated Marker Charts
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Solution Overview
Problem
Far-infrared cameras face challenges in calibration precision due to difficulties in identifying markers in far-infrared images, especially when some markers are not visible, leading to incomplete information for calibration, which affects the accuracy of marker positioning and overall calibration.
Innovation Solution
An image processing device and calibration system that utilize a chart with first and second markers of different temperatures, along with a base, to acquire and process far-infrared images. The system extracts first markers, estimates the positions of second markers based on geometric relationships, and calibrates the camera using these positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If imaging is performed to show all markers in the far-infrared image, then marker visibility is improved, but it becomes difficult to acquire far-infrared images showing markers at the ends, causing failure in securing calibration information
Solution Approach 1:
The chart is divided into two types of markers: first markers that are always visible in the far-infrared image and second markers that may not be visible. The system processes these two marker types separately, using first markers to establish geometric relationships and then inferring second marker positions based on these relationships, thereby ensuring complete calibration information without requiring all markers to be directly visible.
Solution Approach 2:
First markers serve as intermediaries to establish geometric relationships that can be used to infer the positions of second markers. Even when second markers are not visible in the far-infrared image, their positions can be determined through the geometric relationships established by the visible first markers, thus completing the calibration information.
2Loss of information
If the chart includes markers at the ends that are difficult to capture, then calibration completeness is improved, but image acquisition reliability decreases
Solution Approach 1:
The chart is designed in advance with first markers positioned to be always visible in the far-infrared image and second markers positioned to represent locations that may not be visible. The geometric relationships between first markers are established beforehand, allowing the system to infer second marker positions without requiring direct capture of all markers during imaging.
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
Improves the calibration precision of far-infrared cameras by ensuring all markers are visible and accurately positioned, even when some markers are not initially visible, thereby enhancing the reliability of the calibration process.
Implementation Method 1
Far-infrared images are generated when imaging elements capture far-infrared rays emitted from objects by black-body radiation
Data Source
AI summary
There is provided an image processing device including a far-infrared acquisition unit that acquires a far-infrared image, a first extraction unit that extracts a plurality of first markers having a first temperature from the far-infrared image, and a far-infrared specification unit that specifies a position of each of a plurality of second markers having a second temperature in the far-infrared image based on a geometric relationship between the plurality of respective first markers.