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Geometric Calibration of Thermal Cameras

机译:热摄像头的几何校准

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摘要

There exist several tools and methods for camera resectioning, i.e. geometric calibration for the purpose of estimating intrinsic and extrinsic parameters. The intrinsic parameters represent the internal properties of the camera such as focal length, principal point and distortion coefficients. The extrinsic parameters relate the cameras position to the world, i.e. how is the camera positioned and oriented in the world. With both sets of parameters known it is possible to relate a pixel in one camera to the world or to another camera. This is important in many applications, for example in stereo vision. The existing methods work well for standard visual cameras in most situations. Intrinsic parameters are usually estimated by imaging a well-defined pattern from different angles and distances. Checkerboard patterns are very often used for calibration since it is a well-defined pattern with easily detectable features. The intersections between the black and white squares form high contrast points which can be estimated with sub pixel accuracy. Knowing the precise dimension and structure of the pattern makes enables calculation of the intrinsic parameters. Extrinsic calibration can be performed in a similar manner if the exact position and orientation of the pattern is known. A common method is to distribute markers in the scene and to measure their exact locations. The key to good calibration is well-defined points and accurate measurements. Thermal cameras are a subset of infrared cameras that work with long wavelengths, usually between 9 and 14 microns. At these wavelengths all objects above absolute zero temperature emit radiation making it ideal for passive imaging in complete darkness and widely used in military applications. The issue that arises when trying to perform a geometric calibration of a thermal camera is that the checkerboard emits more or less the same amount of radiation in the black squares as in the white. In other words, the calibration board that is optimal for calibration of visual cameras might be completely useless for thermal cameras. A calibration board for thermal cameras should ideally be a checkerboard with high contrast in thermal wavelengths. (It is of course possible to use other sorts of objects or patterns but since most tools and software expect a checkerboard pattern this is by far the most straightforward solution.) Depending on the application it should also be more or less portable and work booth in indoor and outdoor scenarios. In this paper we present several years of experience with calibration of thermal cameras in various scenarios. Checkerboards with high contrast both for indoor and outdoor scenarios are presented as well as different markers suitable for extrinsic calibration.
机译:有几种用于相机切除的工具和方法,即几何校准,用于估算内在和外在参数。内在参数表示相机的内部属性,例如焦距,主点和失真系数。外在参数将相机位置与世界相关联,即,相机在世界上定位和定向的方式。通过已知的这两组参数,可以将一个像素递交到世界或另一个相机。这在许多应用中都很重要,例如立体声愿景。在大多数情况下,现有方法适用于标准视觉摄像机。通常通过从不同角度和距离成像明确明确的图案来估计内部参数。棋盘图案通常通常用于校准,因为它是具有易于检测功能的明确定义的图案。黑白方块之间的交叉点形成高对比度,可以以子像素精度估计。了解模式的精确度和结构使得能够计算内在参数。如果已知图案的确切位置和取向,则可以以类似的方式执行外部校准。常用方法是在场景中分配标记并测量它们的确切位置。良好校准的关键是明确的点和准确的测量。热摄像机是具有长波长的红外相机的子集,通常在9到14微米之间。在这些波长上,所有上述对象绝对零温度发出辐射,使其成为完全黑暗中的被动成像并广泛用于军事应用。在尝试执行热相机的几何校准时出现的问题是棋盘在黑色方形中发出或多或少的辐射相同的辐射。换句话说,对于可视摄像机校准的最佳校准板可能是热摄像机的完全没用的。用于热摄像机的校准板应理想地是热波长高对比度的棋盘。 (当然可以使用其他类型的对象或模式,但由于大多数工具和软件期望棋盘模式,这是迄今为止最简单的解决方案。)根据应用程序,它也应该或多或少的便携式和工作展位室内和户外情景。在本文中,我们在各种场景中展示了多年的热敏摄像机校准。具有高对比度的棋盘均提供室内和室外场景以及适合外在校准的不同标记。

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