| A New Robust Image Matching Method Based on Distance Reciprocal |
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| 引用本文： | 赵春江,施文康,邓勇. A New Robust Image Matching Method Based on Distance Reciprocal[J]. 上海交通大学学报(英文版), 2004, 9(4): 7-10 |
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| 作者姓名： | 赵春江 施文康 邓勇 |
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| 作者单位： | SchoolofElectronics＆InformationTechnology,ShanghaiJiaotongUniv.,Shanghai200030,China |
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| 基金项目： | NationalDefenseKeyLaboratoryofTar-getandEnvironmentFeature(51476040103JW13) |
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| 摘 要： | Object matching between two-dimensional images is an important problem in computer vision. The purpose of object matching is to decide the similarity between two objects. A new robust image matching method based on distance reciprocal was presented. The distance reciprocal is based on human visual perception. This method is simple and effective. Moreover, it is robust against noise. The experiments show that this method outperforms the Hausdorff distance, when the images with noise interfered need to be recognized.
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| 关 键 词： | 图像匹配 距离导数 豪斯多夫距离 空间图像 |
A New Robust Image Matching Method Based on Distance Reciprocal |
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| ZHAO Chun-jiang,SHI Wen-kang,DENG Yong. A New Robust Image Matching Method Based on Distance Reciprocal[J]. Journal of Shanghai Jiaotong university, 2004, 9(4): 7-10 |
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| Authors: | ZHAO Chun-jiang SHI Wen-kang DENG Yong |
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| Affiliation: | School of Electronics & Information Technology, Shanghai Jiaotong Univ., Shanghai 200030, China;School of Electronics & Information Technology, Shanghai Jiaotong Univ., Shanghai 200030, China;School of Electronics & Information Technology, Shanghai Jiaotong Univ., Shanghai 200030, China |
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| Abstract: | Object matching between two-dimensional images is an important problem in computer vision. The purpose of object matching is to decide the similarity between two objects. A new robust image matching method based on distance reciprocal was presented. The distance reciprocal is based on human visual perception. This method is simple and effective. Moreover, it is robust against noise. The experiments show that this method outperforms the Hausdorff distance, when the images with noise interfered need to be recognized. |
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| Keywords: | distance reciprocal image matching robust Hausdorff distance |
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