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一种改进的正视图三维模型特征提取算法
引用本文:邓利平.一种改进的正视图三维模型特征提取算法[J].四川轻化工学院学报,2010(3):284-287.
作者姓名:邓利平
作者单位:西华师范大学计算机学院,四川南充637002
基金项目:四川省教育厅科研项目(08ZA018); 西华师范大学校级启动项目(08B006)
摘    要:随着多媒体与网络技术的迅速发展,大量的三维模型产生并被广泛使用,导致三维模型查询成为紧迫的研究内容。其中基于内容的三维模型特征提取是一个重要的研究课题。文章在研究现有三维模型特征提取算法的基础上,提出了一种改进的正视图特征提取算法,通过提取正视图的灰度统计量平均值、均方差和三阶矩为特征,提高了算法的精确度。实验表明,算法在获得较好查准率与查全率的同时,降低了算法的运行时间。

关 键 词:三维模型  特征提取  正视图描述符  基于内容的检索

An Improved Feature Extration Algorithm for Elevation-Based 3D Model
DENG Li-ping.An Improved Feature Extration Algorithm for Elevation-Based 3D Model[J].Journal of Sichuan Institute of Light Industry and Chemical Technology,2010(3):284-287.
Authors:DENG Li-ping
Affiliation:DENG Li-ping(Department of Computer Science,China West Normal University,Nanchong 637002,China)
Abstract:With the rapid development of multi-media and network technology,a large number of 3D models have been produced and widely used.This has made the searching for specific 3D models as a vital issue.Content-based 3D model feature extraction is an important research topic.This paper,which researched the existing feature extraction algorithms,proposed an improved feature extraction algorithm for elevation-based 3D model.By extracting the average,mean square error and three-order matrix of gray statistics as the features,the accuracy of the algorithm is improved.Experiments show that the algorithm obtains better precision-recall and reduces the running time.
Keywords:
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