摘要
已有对应算法由于局部几何特征不稳定而存在错误映射。文中针对三维动态数据,提出了时空约束下的一致性对应算法。首先,算法以相邻帧数据的时空一致性为约束条件,结合非刚性变形理论构建能量最小化方程。其次,通过能量方程约束求解得到稀疏对应关系。最后,针对变形跟踪所导致的对应丢失问题,所提算法结合曲面采样和等距映射完成紧密对应。针对不同的三维动态数据进行实验分析和量化比较,结果所提算法明显优于类似的算法。
Existing corresponding algorithms will cause error mappings since geometric signatures can’t remain stable and highly similar under different poses.This paper focused on corresponding 3D dynamic surface based on space-time constraints.Firstly,this algorithm constructs the energy optimization function according to the non-rigid deformation model.Secondly,sparse correspondence is computed by optimizing the energy function.Finally,this algorithm of surface sampling and isometric mapping is used to solve the dense matching problem.In experimental part,the analysis and quantification of different 3D motions are carried out,and it turns out that this algorithm can improve the correspondence accuracy.
作者
程志豪
潘翔
郑河荣
CHENG Zhi-hao;PAN Xiang;ZHENG He-rong(College of Computer Science&Technology,Zhejiang University of Technology,Hangzhou 310023,China)
出处
《计算机科学》
CSCD
北大核心
2019年第8期303-309,共7页
Computer Science
基金
浙江省文物局项目(2014014)资助
关键词
三维动态数据对应
时空约束
模型变形
等距映射
3D dynamic surface correspondence
Space-time constraints
Non-rigid deformation model
Isometric mapping
