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A versatile photogrammetric camera automatic calibration suite for multi-spectral fusion and optical helmet tracking

机译:多功能的摄影相机自动校准套件,用于多光谱融合和光学头盔跟踪

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This paper presents a system to determine the photogrammetric parameters of a camera. The lens distortion, focal length and camera six degree of freedom (DOF) position are calculated. The system caters for cameras of different sensitivity spectra and fields of view without any mechanical modifications. The distortion characterisation, a variant of Brown's classic plumb line method, allows many radial and tangential distortion coefficients and finds the optimal principal point. Typical values are 5 radial and 3 tangential coefficients. These parameters are determined stably and demonstrably produce superior results to low order models despite popular and prevalent misconceptions to the contrary. The system produces coefficients to model both the distorted to undistorted pixel coordinate transformation (e.g. for target designation) and the inverse transformation (e.g. for image stitching and fusion) allowing deterministic rates far exceeding real time. The focal length is determined to minimise the error in absolute photogrammetric positional measurement for both multi camera systems or monocular (e.g. helmet tracker) systems. The system determines the 6 DOF position of the camera in a chosen coordinate system. It can also determine the 6 DOF offset of the camera relative to its mechanical mount. This allows faulty cameras to be replaced without requiring a recalibration of the entire system (such as an aircraft cockpit). Results from two simple applications of the calibration results are presented: stitching and fusion of the images from a dual-band visual/LWIR camera array, and a simple laboratory optical helmet tracker.
机译:本文提出了一种确定相机摄影测量参数的系统。计算镜头失真,焦距和相机的六个自由度(DOF)位置。该系统可满足不同灵敏度光谱和视野的相机的要求,而无需进行任何机械修改。畸变表征是Brown经典铅垂线方法的一种变体,它允许许多径向和切向畸变系数并找到最佳主点。典型值为5个径向系数和3个切向系数。这些参数是稳定确定的,并且可以证明与低阶模型相比具有更好的结果,尽管存在相反的流行和普遍的误解。该系统产生系数以对失真到未失真的像素坐标变换(例如,用于目标指定)和逆变换(例如,用于图像拼接和融合)建模,从而允许确定性速率远远超过实时。确定焦距以最小化对于多相机系统或单眼(例如头盔追踪器)系统的绝对摄影测量位置测量中的误差。系统在选定的坐标系中确定摄像机的6自由度位置。它还可以确定摄像机相对于其机械安装座的6 DOF偏移。这样就可以更换故障相机,而无需重新校准整个系统(例如飞机驾驶舱)。给出了两种简单的校准结果应用程序的结果:双波段视觉/ LWIR相机阵列和简单的实验室光学头盔追踪器对图像的拼接和融合。

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