| 三角网格模型匹配分析 |
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| 引用本文： | 刘斌,上官宁,江开勇.三角网格模型匹配分析[J].华侨大学学报(自然科学版),2009,30(6). |
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| 作者姓名： | 刘斌 上官宁 江开勇 |
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| 作者单位： | 华侨大学,机电及自动化学院,福建,泉州,362021 |
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| 基金项目： | 福建省科技计划重点项目(2006H0029);;福建省自然科学基金资助项目(E0810040,E0710017) |
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| 摘 要： | 将主成分分析(PCA)方法与迭代近邻点(ICP)算法相结合,提出一种三角网格三维模型匹配方法.利用PCA方法将两个三维模型进行初始定位,再利用ICP方法进行微调校准;然后,以差值平方和函数来定量评估两模型的相似度.这种两阶段的定位校准方法,不仅可让所有比对的模型都处在相同的校准条件下,也可避免因为位移量过大而造成ICP方法校准失败情况的发生.最后,给出一些对模型相似度进行评定的实例.
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| 关 键 词： | 三维模型 相似度 匹配 主成分分析 迭代近邻点算法 |
Analysis of Triangular Mesh Model Matching |
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| LIU Bin,SHANG Guan-ning,JIANG Kai-yong.Analysis of Triangular Mesh Model Matching[J].Journal of Huaqiao University(Natural Science),2009,30(6). |
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| Authors: | LIU Bin SHANG Guan-ning JIANG Kai-yong |
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| Institution: | College of Mechanical Engineering and Automation;Huaqiao University;Quanzhou 362021;China |
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| Abstract: | A triangular mesh model matching method by combination of principal component analysis(PCA) and iterative closet point(ICP) algorithm is presented.Firstly,two 3D models are initially located by using PCA method.Secondly,ICP algorithm is applied to do fine adjustment and calibration.Finally,the similarity of the two models are quantitatively evaluated by using difference sum of squares function.This kind of two-stage location and calibration method,not only makes all comparative models be under the same cond... |
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| Keywords: | 3D models similarity matching principal component analysis iterative closet point algorithm |
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