| 几何约束下曲面场景的立体匹配迭代算法 |
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| 引用本文： | 边后琴,苏剑波.几何约束下曲面场景的立体匹配迭代算法[J].高技术通讯,2006,16(12):1246-1252. |
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| 作者姓名： | 边后琴 苏剑波 |
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| 作者单位： | 上海交通大学自动化系智能机器人研究中心,上海,200030 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 使用对极约束和同形映射两种几何约束,通过采用面积检测、一致性约束误差检测、概率筛选规则和对称优化等策略,成功地实现了曲面场景图像的特征点匹配.该方法未使用任何与灰度相关的信息和与场景相关的约束,极大地提高了方法的实用性和鲁棒性.整个匹配过程快速有效,并在不同的弱标定关系已知的真实图像数据上成功地得到实现.
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| 关 键 词： | 特征匹配 对极几何 基础矩阵 同形矩阵 |
| 收稿时间： | 2005-11-07 |
| 修稿时间： | 2005年11月7日 |
Feature matching iteration algorithm based on geometric constraints in stereo views of curved scenes |
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| Bian Houqin,Su Jianbo.Feature matching iteration algorithm based on geometric constraints in stereo views of curved scenes[J].High Technology Letters,2006,16(12):1246-1252. |
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| Authors: | Bian Houqin Su Jianbo |
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| Affiliation: | Institute of Automation, Shanghai Jiaotong University, Shanhai 200030 |
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| Abstract: | Area detection, consistent constraint error detection, probability selection rule and symmetry optimization were suecessfully applied to the correction and completion of feature matching of curved scenes by epipolar constraints homography mapping in curved scenes. Only geometric constraints rather than scene-dependent constraints were involved in the whole matching process, so the method had great robustness and practicality. The results for experiments with real image data are given in the paper. |
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| Keywords: | feature matching epipelar geometry fundamental matrix homography |
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