A Novel Mechanical Component Retrieval Approach Based on Differential Moment

Joint Authors

Liu, Wu
Guo, Kehua
Song, Hong

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

Mechanical Engineering

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