| 基于MATLAB的基本矩阵随机采样鲁棒估计 |
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| 引用本文： | 高晟丽,陈杰,李海滨.基于MATLAB的基本矩阵随机采样鲁棒估计[J].海洋测绘,2006,26(3):31-33,38. |
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| 作者姓名： | 高晟丽 陈杰 李海滨 |
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| 作者单位： | 解放军信息工程大学,测绘学院,河南,郑州,450052 |
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| 摘 要： | 基本矩阵的估算可以分为线性算法、非线性优化迭代算法、鲁棒估计算法三大类,而以鲁棒估计效率、效果最为突出,但是实现比较复杂。本文通过数码相机获取的两张未标定照片,采样互相关系数法和RANSAC算法,在MATLAB中实现了基本矩阵的自动拟合,实验表明拟合精度较高、速度快,为下一步三维场景的自动重建和量测奠定了基础。
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| 关 键 词： | 图像处理 基本矩阵 鲁棒估计 随机采样算法 |
| 文章编号： | 1671-3044（2006）03-0031-03 |
| 收稿时间： | 2005-11-24 |
| 修稿时间： | 2005-11-242006-02-27 |
A Random Sampling Algorithm for Fundamental Matrix Robust Estimation Based on MATLAB |
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| GAO Sheng-li,CHEN Jie,LI Hai-bin.A Random Sampling Algorithm for Fundamental Matrix Robust Estimation Based on MATLAB[J].Hydrographic Surveying and Charting,2006,26(3):31-33,38. |
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| Authors: | GAO Sheng-li CHEN Jie LI Hai-bin |
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| Institution: | Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, Henan ,450052 |
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| Abstract: | The fundamental matrix estimation can be separated by linear algorithm,nonlinear optimized iterative algorithm and robust estimation.Among these methods,robust is the best,but(it's) quite difficult to realize.This paper uses two un-calibration photos taken by normal digital camera to fit the fundamental matrix with RANSAC algorithm in MATLAB.The experimental result indicates that the fitting speed is rapid and the precision is nice. |
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| Keywords: | MATLAB fundamental matrix robust estimation random sampling algorithms |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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