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Geometric Calibration of Thermal Cameras

机译:热像仪的几何校准

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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:存在几种用于照相机切除的工具和方法,即,用于估计内在和外在参数的几何校准。固有参数表示相机的内部属性,例如焦距,主点和失真系数。外在参数将摄像机的位置与世界相关联,即摄像机如何在世界中定位和定向。利用已知的两组参数,可以将一个摄像机中的像素与整个世界或另一个摄像机相关联。这在许多应用中很重要,例如在立体视觉中。现有的方法在大多数情况下对于标准的视觉摄像机都适用。通常通过从不同角度和距离对定义明确的图像进行成像来估计固有参数。棋盘格图案常用于校准,因为它是定义明确的图案,具有易于检测的特征。黑白方块之间的交点形成了高对比度点,可以使用子像素精度对其进行估算。知道图案的精确尺寸和结构使得能够计算固有参数。如果已知图案的确切位置和方向,则可以类似的方式进行外部校准。一种常见的方法是在场景中分布标记并测量其确切位置。良好校准的关键是明确定义的点和准确的测量值。红外热像仪是红外热像仪的一个子集,可使用通常在9至14微米之间的长波长。在这些波长下,高于绝对零温度的所有物体都会发出辐射,这使其成为在完全黑暗中进行被动成像的理想选择,并广泛用于军事应用。尝试对热像仪进行几何校准时出现的问题是,棋盘在黑色方块中或多或少地发出与白色相同的辐射量。换句话说,最适合视觉摄像机校准的校准板可能对热像仪完全没用。理想情况下,热像仪的校准板应该是在热波长下具有高对比度的棋盘格。 (当然也可以使用其他类型的对象或模式,但是由于大多数工具和软件都希望使用棋盘格模式,这是迄今为止最直接的解决方案。)根据应用的不同,它也应该或多或少具有便携性,并且可以在工作间中使用室内和室外场景。在本文中,我们介绍了在各种情况下校准热像仪的几年经验。展示了适用于室内和室外场景的具有高对比度的棋盘格以及适用于外部校准的不同标记。

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