[1]张艺琨,唐雁,陈强.基于多特征融合的三维模型检索[J].郑州大学学报(工学版),2019,40(01):1.[doi:10.13705/j.issn.1671-6833.2019.01.002]
　Zhang Yikun,Tang Yan,Chen Qiang.3D Model Retrieval Method Based on Multiple Feature Fusion[J].Journal of Zhengzhou University (Engineering Science),2019,40(01):1.[doi:10.13705/j.issn.1671-6833.2019.01.002]
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基于多特征融合的三维模型检索()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
40
期数:
2019年01期
页码:
1
栏目:
出版日期:
2019-01-10

文章信息/Info

Title:
3D Model Retrieval Method Based on Multiple Feature Fusion
作者:
张艺琨; 唐雁; 陈强
西南大学计算机与信息科学学院
Author(s):
Zhang Yikun; Tang Yan; Chen Qiang
School of Computer and Information Science, Southwest University
关键词:
三维模型检索; 多特征; ORB特征; 形状上下文; 相似度
Keywords:
3D model retrieval; multiple features; ORB characteristics; shape context; similarity
DOI:
10.13705/j.issn.1671-6833.2019.01.002
文献标志码:
A
摘要:
特征的选择、表示和融合是基于多特征三维模型检索技术的关键，现有成果大多没有兼顾模型的整体和局部，且特征表示复杂度高。提出了一种基于多特征融合的三维模型检索方法，提取ORB特征描述模型局部信息，并在提取Canny边缘信息的基础上，进一步提取形状上下文特征描述全局信息，融合ORB特征和形状上下文特征得到一个新的特征表示三维模型，通过计算模型相似度得出最终检索结果。试验结果表明，本方法能有效提高检索性能。
Abstract:
The selection of features,  the representation of features, and the mode of fusion were key processes of 3D model retrieval technology . In the paper, we propose a new 3D model retrieval method which was based on multiple feature fusion was proposed. It combined the fast ORB features and the precise shape context features. ORB features described the local information. After extracting the Canny edge information, the shape context features were extracted to describe the global information, then the final similarity was calculated based on shape context features and ORB features. Experimental results demonstrated that our method could effectively improve retrieval performance.
更新日期/Last Update: 2019-02-28