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Full thermal panorama from a long wavelength infrared and visible camera system

机译:来自长波长红外和可见摄像机系统的全热全景

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We present a method of constructing a full thermal panorama from a collection of images taken by a long wavelength infrared and visible camera system. Due to recent development in joint stereo calibration, our method is able to project a thermal image onto a corresponding visible image. After both images are in the same domain, panoramic projection from visible images can also be applied to thermal images. Our method also extends the scope of the projection function by allowing nonzero distance between center of rotation and optical center of rotating camera as well as arbitrary camera's primary axes that are no longer parallel to the world axes. We show that our method works on a dataset with various camera movements and compare our results with standard software made specifically for a visible panorama and a thermal panorama. Furthermore, we are able to combine thermal panoramas of the same scene with a simple calculation. With an addition of guided upsampling, we can simultaneously improve thermal image resolution and field of view with a single run of the method. (C) 2019 SPIE and IS&T
机译:我们提出了一种从长波长红外和可见摄像机系统拍摄的图像集合构造完整的热全景的方法。由于最近在联合立体声校准方面的发展,我们的方法能够将热图像投影到相应的可见图像上。在两个图像处于同一域之后,来自可见图像的全景投影也可以应用于热图像。我们的方法还通过允许旋转中心和旋转相机的光学中心之间的非零距离以及不再与世界轴平行的主轴之间的非零距离来扩展投影功能的范围。我们表明我们的方法在具有各种相机运动的数据集上工作,并将我们的结果与专为可见全景和热全景的标准软件进行比较。此外,我们能够将相同场景的热宽全景与简单的计算相结合。随着引导的上采样,我们可以同时改进热图像分辨率和使用单一运行方法的热图像分辨率和视野。 (c)2019 SPIE和IS&T

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