[1]徐海峰,秦茂玲,刘辉.一种基于特征点分割的三维模型检索方法[J].计算机技术与发展,2013,(01):71-74.
　XU Hai-feng,QIN Mao-ling,LIU Hui.3D Model Retrieval Method Based on Segmentation of Feature Point[J].,2013,(01):71-74.
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一种基于特征点分割的三维模型检索方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年01期
页码:
71-74
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
3D Model Retrieval Method Based on Segmentation of Feature Point
文章编号:
1673-629X（2013）01-0071-04
作者:
徐海峰1; 2; 秦茂玲1; 2; 刘辉1; 2
[1]山东师范大学 信息科学与工程学院;[2]山东省分布式计算机软件新技术重点实验室
Author(s):
XU Hai-feng; QIN Mao-ling; LIU Hui
关键词:
三维模型检索; 特征点; 网格分割; 平坦度
Keywords:
3D model retrieval; feature point; mesh segmentation; flatness
文献标志码:
A
摘要:
针对现有检索算法没有充分考虑模型局部信息的问题,文中提出一种改进的特征点分割方法进行特征生成树构造,并用于三维模型检索.首先提取模型特征点和核心部分,再计算每个三角片的平坦度,以特征面片为种子面片,平坦度差值作为增长因子,使用分水岭方法分割模型,可以得到模型各个部分的曲面集合,之后利用集合中各曲面间的拓扑关系创建特征树,最终去比较不同模型的特征树得到它们的匹配度,根据匹配度进行三维模型检索.文中方法在 Visual C++6.0环境下实现.实验结果表明,文中方法有效利用了模型的局部信息,在相同查全率下有较高的查准率,得到较好的结果
Abstract:
Aiming at 3D model didn't fully consider the model's partial information for the current retrieval algorithms,present an im-proved method of feature point segmentation to construct mesh map for 3D model retrieval. First feature points and the core part of the model are extracted,and then compute each triangular piece flatness,regarding feature point as seed patch,flatness difference value as a growth factor,using watershed segmentation model method,can get each part of the collection of surface for the model,and then use the set of the topological relationship between surface to create characteristic tree,and ultimately compare feature tree of different models to get their matching degree,according to which is retrieved. The algorithm is implemented in the developing environment of Visual C++ 6. 0. Experiments show that the method can effectively utilize the partial information of model,obtain more precision on the same recall and better result

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更新日期/Last Update: 1900-01-01