Open AccessA Novel Mechanical Component Retrieval Approach Based on Differential Moment
Author(s) -
Ke Guo,
Lu Wu,
Hong Song
Publication year - 2013
Publication title -
advances in mechanical engineering/advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1155/2013/401846
Subject(s) - moment (physics) , computation , component (thermodynamics) , differential (mechanical device) , curvature , mathematics , differential geometry , artificial intelligence , algorithm , computer science , geometry , engineering , physics , classical mechanics , thermodynamics , aerospace engineering
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