3D Model Retrieval Method Based on Multiple Feature Fusion
[1]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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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 01
Page number:
1-
Column:
Public date:
2019-01-10
- Title:
- 3D Model Retrieval Method Based on Multiple Feature Fusion
- CLC:
- -
- 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.
- References:
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Last Update:
2019-02-28