| 基于红外热图像的分区域RANSAC匹配算法 |
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| 引用本文： | 付冬梅,王文涛.基于红外热图像的分区域RANSAC匹配算法[J].计算机与数字工程,2010,38(3):123-126. |
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| 作者姓名： | 付冬梅 王文涛 |
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| 作者单位： | 北京科技大学信息工程学院,北京,100083 |
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| 基金项目： | 国家自然科学基金项目“基于人工免疫的红外热图建模及重构研究”(编号:60573016)资助 |
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| 摘 要： | RANSAC是一种鲁棒性估计算法,常用于可见光图像的匹配。文章将其用在红外图像的匹配过程中,并根据红外图像清晰度差,纹理信息少等特点,改进了该算法,提出了一种分区域的RANSAC算法。应用HARRIS算子提取特征点,在匹配过程中将人脸划分为不同区域,应用RANSAC算法进行匹配。实验仿真结果表明,此算法在红外热图像的匹配上,具有准确率高,计算量小的优点,有红外热图像的建模上有较高使用价值。
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| 关 键 词： | 红外热图像 特征提取 特征点匹配 RANSAC算法 |
Subarea RANSAC Matching Algorithm Based on Infrared Image |
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| Fu Dongmei,Wang Wentao.Subarea RANSAC Matching Algorithm Based on Infrared Image[J].Computer and Digital Engineering,2010,38(3):123-126. |
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| Authors: | Fu Dongmei Wang Wentao |
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| Affiliation: | School of Information Engineering/a>;University of Science and Technology Beijing/a>;Beijing 100083 |
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| Abstract: | RANSAC is a robustness estimate algorithm,always used in visible light images matching.In this paper,it is used in infrared images matching,and as the infrared images have low definition and lack of texture information,a subarea RANSAC matching algorithm is presented.In this algorithm,Harris algorithm is used in feature extraction.Then the aim face is divided into several areas,feature matching by RANSAC algorithm.Experimental results show this algorithm has high correct rates and low amount of calculation ... |
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| Keywords: | infrared image feature extraction feature point matching RANSAC algorithm |
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