Changchun Institute of Optics,Fine Mechanics and Physics,CAS
| A new robust 2D camera calibration method using RANSAC | |
| Lv, Y. W.; J. L. Feng; Z. K. Li; W. Liu and J. T. Cao | |
| 2015 | |
| 发表期刊 | Optik
 |
| 卷号 | 126期号:24页码:4910-4915 |
| 摘要 | Camera calibration is a basic and crucial problem in computer vision and photogrammetry. The traditional calibration approach based on 2D planar target fails to give reliable and accurate results due to the inaccurate localization of feature points in some calibration images. An accurate and robust estimation method for camera parameters based on RANdom SAmple Consensus (RANSAC) algorithm is proposed to exclude the unreliable images in this study. First, the distance between circular point and image of the absolute conic is defined, and the recommended threshold value is given by computer simulation. Second, RANSAC has been utilized to pick out a subset of calibrating images automatically, and linear algebraic approximation is performed to estimate the intrinsic parameters and external parameters. Finally, all the camera parameters including lens distortion parameters are refined by the non-linear searching algorithm. Numerical simulation and practical experiment in this paper demonstrate the accuracy and robustness of the proposed method. The experimental results show that the proposed method is more robust and efficient in improving the calibration accuracy than the traditional methods. (C) 2015 Elsevier GmbH. All rights reserved. |
| 收录类别 | SCI ; EI |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ciomp.ac.cn/handle/181722/55345 |
| 专题 | 中科院长春光机所知识产出 |
| 推荐引用方式 GB/T 7714 | Lv, Y. W.,J. L. Feng,Z. K. Li,et al. A new robust 2D camera calibration method using RANSAC[J]. Optik,2015,126(24):4910-4915. |
| APA | Lv, Y. W.,J. L. Feng,Z. K. Li,&W. Liu and J. T. Cao.(2015).A new robust 2D camera calibration method using RANSAC.Optik,126(24),4910-4915. |
| MLA | Lv, Y. W.,et al."A new robust 2D camera calibration method using RANSAC".Optik 126.24(2015):4910-4915. |
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| Lv-2015-A new robust（1834KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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