中文摘要：

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．

英文摘要：

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.