中文摘要：

面向快速、高效的三维模型检索技术的迫切需求，提出基于显著特征谱嵌入的三维模型相似性分析方法．首先通过局部曲率及凸凹性检测，有效提取模型的显著特征点，构建模型的显著特征描述算子．然后基于拉普拉斯映射及谱分析原理进一步提取模型的内蕴形状特征．最后，结合薄板样条函数实现模型间的配准与相似性分析．通过实验验证文中方法不仅有效提高模型匹配的效率，而且能有效识别同一类模型的结构特征，同时对于残缺模型间的匹配具有较强的鲁棒性．

英文摘要：

Aiming at the requirement of efficient 3D model retrieval technology, a three-dimensional model similarity analysis based on salient features spectral embedding method is proposed. Firstly, the salient features are extracted by curvature-based method and a convex-concave measurement to build the salient features representation for the shape. Then these features are embedded in a spectral domain to reveal the intrinsic shape characteristics based on Laplacian Eigenmap. Finally, combined with the thin plate splines method, the model similarity analysis and registration are implemented. The experimental results show that by using the proposed method shape matching is implemented efficiently and the consistent structural features in same category models are identified. Moreover, it is robust to the imperfect shape matching.