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High-accuracy homography estimation for robust pan-tilt-zoom camera calibration

机译:高精度单应估计技术可实现可靠的平移-倾斜-变焦相机校准

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A robust and full automatic pan-tilt-zoom (PTZ) camera calibration of intrinsic parameters is proposed in this paper. This method elegantly combined the estimation of lens distortion coefficient and the homography given an image pair taken by the camera undergoing an arbitrary pan-tilt rotation in a fixed zoom. Addressing the problem that the feature-based homography estimation approaches loose the optimality in presence of feature location noise which was assumed as isotropic and identical distributed, we propose a better homography and lens distortion estimation by using covariance matrix weighted Ransac under lens distortion called as CWRLD in which the feature location noise is considered as anisotropic non identical distributed noise. The robustness and effectiveness of our method are demonstrated on both synthetic and real data.
机译:本文提出了一种鲁棒且全自动的内在参数的云台(PTZ)摄像机标定。该方法巧妙地结合了镜头畸变系数的估计和单应性,给定了相机以固定变焦进行任意云台旋转所拍摄的图像对。针对基于特征的单应性估计方法在存在特征位置噪声且假设为各向同性且分布均匀的情况下失去最优性的问题,我们提出了一种在透镜畸变下使用协方差矩阵加权Ransac的更好的单应性和透镜畸变估计方法,称为CWRLD其中特征位置噪声被认为是各向异性的非相同分布噪声。我们的方法的鲁棒性和有效性已在综合和真实数据上得到了证明。

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