| 蒙特卡罗估计改进Hausdorff距离的景象匹配方法 |
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| 引用本文： | 刘婧,孙继银,朱俊林,何芳芳.蒙特卡罗估计改进Hausdorff距离的景象匹配方法[J].红外与激光工程,2008,37(2):289-291. |
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| 作者姓名： | 刘婧 孙继银 朱俊林 何芳芳 |
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| 作者单位： | 第二炮兵工程学院四系,陕西西安,710025;96411部队,陕西,宝鸡,721006 |
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| 摘 要： | 针对可见光与红外图像差异较大导致的匹配困难的实际问题，提出了一种基于蒙特卡罗估计改进Hausdorff距离（MCM-HD）的景象匹配方法。该方法在MCHD的基础上，使用蒙特卡罗方法来估计改进的Hausdorff距离（M-HD），并定义了MCM-HD，即采用随机抽样的特征点子集来计算M-HD，从而有效地减少了计算量。为了提高匹配精度，采用分层MCM-HD与Nprod相结合的方法，在求出距离最小k个点之后采用Nprod相似性度量得出最终匹配位置。与MCHD算法相比，该算法有效提高了匹配精度，同时缩短了匹配时间。
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| 关 键 词： | Hausdorff距离 蒙特卡罗 景象匹配 |
| 文章编号： | 1007-2276(2008)02-0289-03 |
| 收稿时间： | 2007/6/3 |
| 修稿时间： | 2007年6月3日 |
Scene matching method based on Monte Carlo evaluation the modified Hausdorff distance |
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| LIU Jing,SUN Ji-yin,ZHU Jun-lin,HE Fang-fang.Scene matching method based on Monte Carlo evaluation the modified Hausdorff distance[J].Infrared and Laser Engineering,2008,37(2):289-291. |
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| Authors: | LIU Jing SUN Ji-yin ZHU Jun-lin HE Fang-fang |
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| Affiliation: | 1.4th Department，Second Artillery Engineering University, Xi′an 710025, China;
2. Troops No. 96411, Baoji 721006,China |
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| Abstract: | At present, optical and infrared image have large gray value differences between them that will cause big error in scene matching. In this paper, a new method based on MCM-HD for this problem was proposed. The method used Monte Carlo to evaluate the modified Hausdorff distance (M-HD), and gave the definition of MCM-HD using a randomly sampled set of feature points to evaluate the MHD. As a result, calculation amount of the M-HD was decreased. In order to improve the matching precision, combining the layered MCM-HD with Nprod, calculated the minimum k values, and used Nprod to obtain the more accurate position. Compared with MCHD algorithm, the method effectively improves the precision and shortens the matching time. |
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| Keywords: | Hausdorff distance Monte Carlo Scene matching |
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