A method of 3D CAD model retrieval based on feature adjacent graph

Min Shi; Shusheng Zhang

doi:10.1117/12.2010778

14 March 2013 A method of 3D CAD model retrieval based on feature adjacent graph

Min Shi, Shusheng Zhang

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87681L (2013) https://doi.org/10.1117/12.2010778
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

To reuse the 3D CAD model, a new method of 3D CAD model retrieval based on feature adjacent graph is proposed. First, a representation of feature adjacent graph for the CAD model is extracted by automatic identification-based and interactive identification-assisted. Next, the vertex product graph of the two CAD model’s feature adjacent graphs is constructed, and then the ant colony algorithm is employed to detect the maximum-cliques in the vertex product graph. At last, the similarity of the models is calculated by comparing the maximum-cliques. Experimental results show that this method can realize the 3D CAD model retrieval and its efficiency meets the requirements of applications.

Citation Download Citation

Min Shi and Shusheng Zhang "A method of 3D CAD model retrieval based on feature adjacent graph", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681L (14 March 2013); https://doi.org/10.1117/12.2010778

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available