一种简单快速的相机标定新方法  

A New Easy Fast Camera Self-Calibration Technique

作　　者：刘碧霞[1,2] 李绍滋[1,3] 郭锋[1,3] 苏松志[1,3] 

机构地区：[1]厦门大学智能多媒体技术实验室智能科学系,福建厦门361005 [2]厦门大学计算机科学系,福建厦门361005 [3]厦门大学福建省仿脑系统重点实验室,福建厦门361005

出　　处：《计算机工程与科学》2011年第1期88-93,共6页Computer Engineering & Science

基　　金：国家自然科学基金资助项目(60873179);深圳市科技计划基础研究项目(JC200903180630A)

摘　　要：本文提出了一种新的相机自标定方法,该方法要求摄像机在3个(或3个以上)不同方位摄取一个包含其内接正三角形的圆的新型标定模板的图像。首先,从模板图像中推导得到圆环点的像点坐标;然后通过得到的圆环点像点坐标,可线性求解摄像机内参数。与传统方法不同的是,该方法避免了复杂的椭圆拟合和直线拟合,降低了计算复杂度,提高了标定速度和精度,对噪声更加鲁棒。此外,该方法中的标定过程不需要模板的任何物理度量,也不要建立模板及其图像上点的对应,标定过程简单易于操作。基于模拟和真实图像的实验验证了该方法的有效性和鲁棒性。In this paper, we present a new camera calibration approach by taking three images at least of the proposed planar pattern which includes an arbitrary circle with its inscribed regular triangle under different orientations. First, the imaged circular points are derived from the images of the proposed planar pattern. And then, the camera intrinsic matrix and extrinsic matrix are determined via the obtained imaged circular points. In contrast to the conventional methods, our method avoids ellipse and line fittings. It reduces the computing complexity and it is more robust to noise. Another advantage of our method is that neither any metric measurement on the model plane, nor the point correspondences is necessary; hence the calibration process becomes extremely simple. Experiments on both synthetic data and real image data demonstrate the robustness and effectiveness of our method.

关 键 词：圆环点 绝对二次曲线 相机标定 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]