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A Simplified Active Calibration Algorithm for Focal Length Estimation

机译:焦距估计的简化有源校准算法

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We introduce new linear mathematical formulations to calculate the focal length of a camera in an active platform. Through mathematical derivations, we show that the focal lengths in each direction can be estimated using only one point correspondence that relates images taken before and after a degenerate rotation of the camera. The new formulations will be beneficial in robotic and dynamic surveillance environments when the camera needs to be calibrated while it freely moves and zooms. By establishing a correspondence between only two images taken after slightly panning and tilting the camera and a reference image, our proposed Simplified Calibration Method is able to calculate the focal length of the camera. We extensively evaluate the derived formulations on a simulated camera, 3D scenes and real-world images. Our error analysis over simulated and real images indicates that the proposed Simplified Active Calibration formulation estimates the parameters of a camera with low error rates.
机译:我们引入新的线性数学公式来计算活动平台中相机的焦距。通过数学推导,我们表明可以仅使用一个点对应关系来估计每个方向上的焦距,该点对应关系涉及在相机退化旋转之前和之后拍摄的图像。当摄像机需要自由移动和缩放时需要进行校准时,新的配方将在机器人和动态监视环境中受益。通过仅在稍微摇摄和倾斜相机后拍摄的两个图像与参考图像之间建立对应关系,我们提出的简化校准方法就可以计算相机的焦距。我们在模拟相机,3D场景和真实世界的图像上广泛评估派生的配方。我们对模拟和真实图像进行的误差分析表明,所提出的简化主动校准公式可以估算出具有低误差率的摄像机参数。

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