《计算机应用研究》|Application Research of Computers

基于谱对称的形状配准方法

Shape registration method based on spectral symmetry

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作者 韩丽,李丹,刘书宁,陈思宇,朴京钰,唐棣
机构 辽宁师范大学 计算机与信息技术学院,辽宁 大连 116081
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文章编号 1001-3695(2019)06-060-1887-06
DOI 10.19734/j.issn.1001-3695.2018.01.0053
摘要 针对现有三维形状配准方法中存在左右翻转的错误匹配问题,提出了基于内蕴对称特征检测的高效形状配准算法。首先,通过热核与几何约束构建模型的内蕴自对称点对;其次,基于谱嵌入特征空间分析提取模型的内蕴对称平面,并依据模型表面法向量有效识别模型的左右结构属性;然后,根据内蕴对称点对获得模型的一致性谱对称结构描述;最后,引入一致性点漂移算法(CPD),实现基于谱对称的非刚性模型的形状配准,有效避免了模型配准中的左右结构翻转问题。实验进一步论证了这种方法不仅有效提高了模型匹配的效率,而且能有效识别同类模型的结构特征,对于非刚性模型的配准具有较强的鲁棒性。
关键词 形状配准; 对称性检测; 谱映射; 一致性点漂移
基金项目 国家自然科学基金资助项目(61702246)
本文URL http://www.arocmag.com/article/01-2019-06-060.html
英文标题 Shape registration method based on spectral symmetry
作者英文名 Han Li, Li Dan, Liu Shuning, Chen Siyu, Pu Jingyu, Tang Di
机构英文名 School of Computer & Information Technology,Liaoning Normal University,Dalian Liaoning 116081,China
英文摘要 Aiming at the issue of symmetric flips in the process of 3D shape registration, this paper developed an efficient shape registration algorithm based on intrinsic symmetric feature detection. Firstly, it constructed intrinsic symmetric point pairs of the model by heat kernel signature(HKS) and geometric constraints. Secondly, based on the spectral embedding space analysis, it extracted the intrinsic symmetric plane of the model and effectively identified the symmetrical properties of the model according to the model surface normal vector, to get intrinsic symmetry point pair. Therefore it presented the consistent spectral symmetry structure of the model. Finally, combining the coherent point drift(CPD) method, this paper implemented the shape registration of non-rigid model based on spectral symmetry. The experimental results show that the matching method is efficient and robust to the non-rigid deformable shape matching. Moreover, the structural features in same category models are also effectively identified.
英文关键词 shape registration; symmetry detection; spectral mapping; coherent point drift
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收稿日期 2018/1/6
修回日期 2018/3/9
页码 1887-1892
中图分类号 TP391.41
文献标志码 A