A Novel Mechanical Component Retrieval Approach Based on Differential Moment
Joint Authors
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-09
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
The differential geometry and moment invariants are important approaches in pattern recognition and artificial intelligence.
In this paper, a novel approach for mechanical component retrieval is reported.
This approach combines local (spatial curvature) signatures and global (moment) features of 3D mechanical component.
Mean curvatures are integrated into the computation of 3D moment invariants, and differential moment invariants are constructed.
Experiments indicate that differential moment invariants have a lower computation complexity than traditional 3D image retrieval approaches without reducing the retrieval rate.
American Psychological Association (APA)
Guo, Kehua& Liu, Wu& Song, Hong. 2013. A Novel Mechanical Component Retrieval Approach Based on Differential Moment. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-469142
Modern Language Association (MLA)
Guo, Kehua…[et al.]. A Novel Mechanical Component Retrieval Approach Based on Differential Moment. Advances in Mechanical Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-469142
American Medical Association (AMA)
Guo, Kehua& Liu, Wu& Song, Hong. A Novel Mechanical Component Retrieval Approach Based on Differential Moment. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-469142
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469142