| 基于RANSAC算法的基本矩阵估计的匹配方法 |
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| 引用本文： | 单欣,王耀明,董建萍. 基于RANSAC算法的基本矩阵估计的匹配方法[J]. 上海电机学院学报, 2006, 9(4): 66-69 |
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| 作者姓名： | 单欣 王耀明 董建萍 |
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| 作者单位： | 1. 上海师范大学,数理信息学院,上海,200234
2. 上海电机学院,电子信息学院,上海,200240 |
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| 摘 要： | 基本矩阵包含了摄像机的所有内参数和外参数信息,求解基本矩阵是计算机视觉中的重要研究课题。在介绍极线几何和基本矩阵理论后,提出了一种基于Sampson距离的RANSAC(Ran-dom Sampling Consensus)算法用于解决求解基本矩阵中误匹配问题。通过从图像的特征提取、特征点匹配到求解基本矩阵的完整的仿真实验,验证了该算法的有效性。
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| 关 键 词： | 基本矩阵 极线几何 RANSAC方法 Sampson距离 |
| 文章编号： | 1671-2730(2006)04-0066-04 |
| 修稿时间： | 2006-06-01 |
The Matching Method Based on RANSAC Algorithm for Estimation of the Fundamental Matrix |
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| Shan Xin,Wang Yaoming,Dong Jianping. The Matching Method Based on RANSAC Algorithm for Estimation of the Fundamental Matrix[J]. JOurnal of Shanghai Dianji University, 2006, 9(4): 66-69 |
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| Authors: | Shan Xin Wang Yaoming Dong Jianping |
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| Abstract: | The fundamental matrix contains all of a camera's inner and outer parameters of a camera.So the estimation of the fundamental matrix is a crucial problem of computer vision.In this paper,we introduce the theorem of the epipolar geometry and the fundamental matrix.To solve the problem of false matches,we also introduces RANSAC algorithm based on Sampson distance.Experiments on feature detection and matching as well as the estimation of the fundamental matrix show that the proposed method is effective. |
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| Keywords: | fundamental matrix epipolar geometry random sampling consensus(RANSAC) algorithm Sampson distance |
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