基于openCV的红外与可见光双摄像机标定方法研究

随着红外热成像技术的不断发展,以及其非接触性测温的优点,人们对红外热成像技术的研究也越来越多;其中,红外与可见光图像的融合成为目前研究的热点;融合的主要难点是对红外和可见光摄像机的参数标定,已达到图像配准的目的。根据通用的摄像机标定技术,在VS2013环境下,结合开源的计算机视觉库OpenCV,开发了一套红外与可见光摄像机标定系统;该系统克服了红外热成像摄像机采集的棋盘格图像模糊的弊端,实现了红外与可见光摄像机的快速、准确的实时标定。

Study of Infrared and visible light dual camera calibration method based on openCV

With the development of infrared thermal imaging technology, as well as the advantages of non-contact temperature measurement, Study of infrared thermal imaging technology is also increasing, And the fusion of infrared and visible images become the focus of current research, integration of the main difficulty is the calibration of infrared and visible light cameras, for image registration. Based on the versatile camera calibration technique, in the VS2013 environment, combined with the openCV open source computer vision library, we developed a set of calibration system for infrared and visible light cameras. The system overcomes the disadvantages of Infrared Image camera can not take clear checkerboard images, and achieving fast, accurate real-time infrared and visible light cameras calibration.