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

Jiaoru Yang, Rui Wang
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引用次数: 3

Abstract

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.
稳健平移-倾斜变焦相机标定的高精度单应性估计
本文提出了一种鲁棒的全自动平移-倾斜-变焦(PTZ)相机固有参数标定方法。该方法将镜头畸变系数的估计与给定相机在固定变焦下任意平移旋转的图像对的单应性巧妙地结合在一起。针对基于特征的单应性估计方法在假设特征位置噪声为各向异性且分布相同的情况下失去最优性的问题,提出了一种基于协方差矩阵加权Ransac的单应性和镜头畸变估计方法(CWRLD),该方法将特征位置噪声视为各向异性非均匀分布噪声。本文方法的鲁棒性和有效性在合成数据和实际数据上都得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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