Multi-feature 3d model retrieval method based on shape context

被引:0
作者
Zhang, Yikun [1 ]
Tang, Yan [1 ]
机构
[1] Southwest Univ, Coll Comp & Informat Sci, Chongqing, Peoples R China
来源
2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2 | 2017年
关键词
3d model retrieval; multiple features; ORB features; shape context; similarity;
D O I
10.1109/ISCID.2017.229
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The selection of features, the representation of features, and the mode of fusion are keys of 3d model retrieval technology. In the paper, we propose a new 3d model retrieval method which is based on shape context. It combines the fast ORB features and the precise shape context features. ORB features describe the local information. After extracting the CANNY edge information, the shape context features are extracted to describe the global information. Then calculating the final similarity based on shape context features and ORB features. Experimental results demonstrated that our method outperforms several existing methods.
引用
收藏
页码:445 / 449
页数:5
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