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| SVD特征的快速景像匹配方法 | |
| 引用本文： | 芮挺,丁健,王金岩,张金林.SVD特征的快速景像匹配方法[J].计算机辅助设计与图形学学报,2006,18(2):212-216. |
| 作者姓名： | 芮挺 丁健 王金岩 张金林 |
| 作者单位： | 1. 解放军理工大学工程兵工程学院,南京,210007;南京航空航天大学自动化学院,南京,210016 2. 解放军理工大学工程兵工程学院,南京,210007 3. 上海交通大学电子信息与电气工程学院,上海,200030 |
| 摘 要： | 采用具有良好稳定性和旋转不变性的奇异值作为匹配特征，根据奇异值的数值特点提出以加权距离作为相似性的度量；采用变模板分级匹配的策略，使得在进行大模板匹配时的匹配运算量大大降低．通过加入噪声、灰度变化和旋转变化的景像匹配实验，证实了该算法的有效性和鲁棒性. |
| 关 键 词： | 景像匹配 奇异值分解 变模板匹配 |
| 收稿时间： | 2004-12-10 |
| 修稿时间： | 2005-08-17 |
Fast Image Matching Method Based on SVD |
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| Rui Ting,Ding Jian,Wang Jinyan,Zhang Jinlin.Fast Image Matching Method Based on SVD[J].Journal of Computer-Aided Design & Computer Graphics,2006,18(2):212-216. | |
| Authors: | Rui Ting Ding Jian Wang Jinyan Zhang Jinlin |
| Abstract: | Novel image matching method based on singular value decomposition (SVD) is proposed in the paper, by taking into account the features of singular values' stability and rotation-invariance. Based on singular values' unique characteristics, this paper further proposes to use weighted distance as the similarity measure between images. In addition, a new coarse-to-fine hierarchical matching approach is proposed to significantly reduce the computation cost. The proposed algorithm has been tested on various corrupted images including noise addition, intensity change and rotation change. Experimental results demonstrate the robustness and accuracy of the proposed algorithm. |
| Keywords: | scene matching singular value decomposition hierarchical multi-mask matching |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |