Abstract

The positional accuracy of a near-infrared (NIR) dynamic navigator is remarkably affected by two factors. One is the calibration accuracy of the navigator’s two NIR cameras, and the other is the accuracy of feature point extraction. The current lack of accurate calibration devices for NIR cameras limits further application. Therefore, in this study, an NIR camera calibration device was designed by placing the NIR light source and heat dissipation system at the back of a Halcon transparent glass template. Usage of camera calibration in a specific band and the gray centroid method based on elliptic boundary to extract feature points can further improve the accuracy of vision system calibration and measurement. Repeated tests and verifications showed that the reconstruction accuracy (

Highlights

  • Near-infrared (NIR) dynamic navigators are widely used in surgery due to their accurate real-time tracking and positioning.[1,2,3] Their basic principle is binocular stereo vision that uses a visualization system of two NIR cameras

  • According to the specific imaging situation, this study proposed a gray centroid method based on elliptic boundary

  • The binocular vision system calculated by the NIR camera calibration device was tested to verify its reliability and accuracy

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Summary

Introduction

Near-infrared (NIR) dynamic navigators are widely used in surgery due to their accurate real-time tracking and positioning.[1,2,3] Their basic principle is binocular stereo vision that uses a visualization system of two NIR cameras. Due to the lack of high-precision NIR calibration devices, cameras are usually calibrated under the visible light band, which in turn, adversely affects the accuracy of real-time tracking and positioning. A high-contrast IR image was generated after being heated by a hairdryer because the emissivity of the substrate material and copper was inconsistent This type of method is widely used, but its main disadvantage is low precision due to low mechanical precision of the self-made calibration template, thermal expansion, and material contraction. Considering the influence of chromatic aberration on lenses, the camera calibration in a specific band is introduced to further improve the calibration accuracy.

Binocular Vision Calibration
Chromatic Aberration Effect of Lens
Selection of Calibration Template
NIR Source and Heat Dissipation System
Assembly
Temperature Test
NIR Camera
Camera Calibration
Analysis of Experimental Data
Findings
Conclusion
Full Text
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