基于树型空间的三维树木模型匹配  

3D Tree Model Matching Based on Tree Shape Space

作　　者：梁爽[1] 朱作腾 贾金原[1] Liang Shuang;Zhu Zuoteng;Jia Jinyuan(School of Software Engineering,Tongji University,Shanghai 201804,China)

机构地区：[1]同济大学软件学院,上海201804

出　　处：《系统仿真学报》2020年第4期582-590,共9页Journal of System Simulation

基　　金：国家自然科学基金重点项目(U19A2063);上海市自然科学基金面上项目(19ZR1461200)。

摘　　要：为解决三维树木模型的检索具有正确率低、检索效率低、描述不匹配等问题,提出一种基于树型空间的三维树木模型匹配方法。该方法通过构建三维树木模型数据集的树型空间,辅以主轴匹配,轮廓匹配,枝干匹配等方式,经过树型空间中欧氏距离和测地线度量差异值,逐步匹配到相应的三维树木模型,该方法分别在通用模型数据集和自我设计的模型数据集进行了匹配性实现,结果表明可以较大幅度提升树木模型匹配的准确率,利于三维树木模型的大规模检索和重用。The retrieval of the 3 D tree models cannot get the higher accuracy,retrieving efficiency and descripting match.In order to solve the problems,a three-dimensional tree model matching method based on tree space is proposed.By constructing the tree space of the three-dimensional tree model dataset,the method computes the difference between the Euclidean distance and the geodesic distance in the tree space by means of spindle matching,contour matching,and branch matching,and gradually matches the corresponding model.The matching implementation results are displayed in the general model dataset and the self-designed model dataset respectively.The method can improve the accuracy of the tree model matching,and is beneficial to the large-scale retrieval and the reuse of 3 D tree models.

关 键 词：树型空间 树木模型数据集 三维树木模型匹配 测地线 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]