| 基于邻域传递的鱼眼图像的准稠密匹配 |
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| 引用本文： | 许振辉,张峰,孙凤梅,胡占义.基于邻域传递的鱼眼图像的准稠密匹配[J].自动化学报,2009,35(9):1159-1167. |
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| 作者姓名： | 许振辉 张峰 孙凤梅 胡占义 |
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| 作者单位： | 1.中国科学院自动化研究所模式识别国家重点实验室 北京 100190 |
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| 基金项目： | 国家自然科学基金(60835003,60673104,60773132);;国家科技支撑计划(2006BAK31B04)资助~~ |
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| 摘 要： | 针对鱼眼图像高畸变的特点, 提出了一种适合于鱼眼图像的准稠密匹配扩散算法. 该算法采用局部仿射模型来建立图像对应区域之间的变换关系, 并利用这个仿射变换来规范化对应区域, 最后在规范化的区域上进行匹配扩散. 在局部仿射变换的计算中, 采用邻域传递的思路, 边扩散边邻域更新, 使扩散始终在较准确的对应区域内进行. 实验表明, 在大畸变的鱼眼图像下, 本文提出的准稠密扩散算法能够取得比较令人满意的匹配扩散结果.
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| 关 键 词： | 鱼眼 准稠密匹配 扩散 邻域传递 |
| 收稿时间： | 2008-7-14 |
| 修稿时间： | 2009-1-8 |
Quasi-dense Matching by Neighborhood Transfer for Fish-eye Images |
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| XU Zhen-Hui ZHANG Feng SUN Feng-Mei HU Zhan-Yi .National Laboratory of Pattern Recognition.Quasi-dense Matching by Neighborhood Transfer for Fish-eye Images[J].Acta Automatica Sinica,2009,35(9):1159-1167. |
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| Authors: | XU Zhen-Hui ZHANG Feng SUN Feng-Mei HU Zhan-Yi National Laboratory of Pattern Recognition |
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| Affiliation: | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190;2.Faculty of Sciences, North China University of Technology, Beijing 100041 |
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| Abstract: | In this paper, a novel quasi-dense matching algorithm through local neighborhood transfer is proposed for fish-eye images, characterized by severe projective distortions. A local affine model is used for the geometric transformation between two corresponding image patches. Patches are normalized with the known affine transformation before match propagation is applied to them. The local affine transformation is computed during the propagation by a new mechanism called neighborhood-transfer to ensure the propagation to be carried out in the correct neighborhood. Experiments with real fish-eye images show that our algorithm can provide satisfactory results. |
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| Keywords: | Fish-eye quasi-dense matching propagation neighborhood-transfer |
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