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Camera calibration method in specific bands for the near-infrared dynamic navigator

机译:近红外动态导航仪特定频段的摄像机标定方法

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摘要

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 (<0.1 pixels) of the binocular vision system calibrated by the NIR calibration device in a specific band was better than that calibrated by traditional methods. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its doi. [DOI:10.1117/1.OE.58.9.094107]
机译:近红外(NIR)动态导航仪的位置精度受到两个因素的显着影响。一个是导航器的两个NIR摄像机的校准精度,另一个是特征点提取的精度。当前缺少用于NIR摄像机的精确校准设备限制了进一步的应用。因此,在本研究中,通过将近红外光源和散热系统放置在Halcon透明玻璃模板的背面来设计近红外照相机校准设备。利用特定波段的摄像机标定和基于椭圆边界的灰色质心法提取特征点可以进一步提高视觉系统标定和测量的准确性。反复的测试和验证表明,由NIR校准设备在特定频段校准的双目视觉系统的重建精度(<0.1像素)要优于传统方法所校准的重建精度。 ©作者。由SPIE根据Creative Commons Attribution 4.0 Unported License发布。发行或复制本作品的全部或部分,需要对原始出版物(包括其doi)进行全部归因。 [DOI:10.1117 / 1.OE.58.9.094107]

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