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基于帕尔贴效应的双波段自适应标定板设计 预览

Design of Dual-band Adaptive Calibration Checkerboard Based on Peltier Effect
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摘要 为精确标定可见光和红外双波段相机系统,减少标定板数量并增加对相机响应波段的适应性,设计了一种基于帕尔贴效应的双波段自适应标定板,以解决以往大尺寸标定板制造困难的问题.通过控制电路中的电流产生不同强度的红外辐射,实现对相机系统响应波段的自适应.从双目超大视场长波红外相机拍摄的图像中可以看出,该标定板标定角点数量多,能够满足超大视场需求;标定角点清晰,对比度高;红外辐射均匀性、稳定性好.性能测试结果表明,标定角点重投影误差达到亚像素级别,标定参数误差均在1%以内,畸变校正效果好. In order to accurately calibrate the dual-band camera system with visible light and infrared lens,reduce the number of calibration plates and increase the adaptability to the camera response band,a dual-band adaptive calibration checkerboard based on the Peltier effect is designed,which solves the problem of the difficulty in manufacturing large-size calibration plates.Different intensity infrared radiation is generated by controlling the current in the circuit,achieving the adaptation of the response band of the camera system.It can be seen from the images taken by the binocular ultra-wide angle long-wave infrared camera that the calibration checkerboard has a large number of points,which can meet the requirements of large field of view.Besides,the calibration corners are clear,the contrast is high,and the infrared radiation uniformity and the stability are good.After the performance test,the calibration corner reprojection error reaches the subpixel level,the calibration parameter error is within 1%,and distortion correction effect is good.
作者 王子昂 黄富瑜 邹昌帆 刘秉琦 王元铂 WANG Zi-ang;HUANG Fu-yu;ZOU Chang-fan;LIU Bing-qi;WANG Yuan-bo(Department of Electronic and Optical Engineering,Shijiazhuang Campus,Army Engineering University,Shijiazhuang 050003,China;Military Agency in Yangzhou Region,Yangzhou,Jiangsu 225009,China)
出处 《光子学报》 EI CAS CSCD 北大核心 2019年第9期127-135,共9页 Acta Photonica Sinica
基金 国家自然科学基金(No.61801507) 陆军工程大学基础前沿创新项目。
关键词 计算机视觉 相机标定 帕尔贴效应 标定板 双波段 Computer vision Camera calibration Peltier effect Calibration checkerboard Dual band
作者简介 第一作者:王子昂(1994-),男,硕士研究生,主要研究方向为计算机视觉,Email:wangziang_optics@163.com;刘秉琦(1962-),男,教授,博士,导师,主要研究方向为光电对抗和光电检测,Email:liubingqi_optics@163.com;通讯作者:黄富瑜(1985-),男,讲师,博士,主要研究方向为计算机视觉,视频图像分析与处理,Email:hfyoptics@163.com。
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