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三维局部相似目标匹配的微分几何方法 被引量：1

Differential Geometry Approach to 3D Partially Similar Object Matching
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摘要 提出一种基于高斯曲率和平均曲率的三维局部相似目标匹配方法.首先筛选出待匹配曲面上固有特征相似的点,形成点对集合.然后利用非对称三角形骨架来定位三维曲面,在点对集合中寻找相似三角形对,并导出其空间变换,构成三角形对集合.最后通过得分函数,求出三角形对集合中空间变换的最佳值,得出最佳匹配.实验表明,该方法对三维局部相似目标匹配具有较好的识别效率,针对不规则三维曲面,能够保证较好的匹配速度. Based on Gaussian curvature and mean curvature, a 3D partially similar object matching approach is proposed. Firstly, the point-pair set is constructed by filtrating points with similar inherent characteristic. Next, the triangle-pair set is formed after searching similar triangles in the point-pair set. Finally, scoring function is employed to determine the optimal transformation in triangle-pair set. Experimental results show good matching efficiency and running time complexity in the partial surface matching of irregular surfaces.
作者 郭克华 刘传才 杨静宇
机构地区 南京理工大学计算机科学与技术学院 中南大学信息科学与工程学院
出处 《模式识别与人工智能》 EI CSCD 北大核心 2008年第5期586-591,共6页 Pattern Recognition and Artificial Intelligence
基金 国家自然科学基金项目(No.60472061) 国家863计划项目(No.2006AA04Z238)资助
关键词 曲率 微分几何 局部相似目标 匹配 模式识别 Curvature, Differential Geometry, Partially Similar Object, Matching, Pattern Recognition
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献11

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二级参考文献9

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模式识别与人工智能
2008年 第5期

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