An efficient CHARM algorithm for indexation 2D/3D and selection of characteristic views

Author

El Far, Mohamed ; Moumoun, Lahcen ; Gadi, Taoufiq ; Benslimane, Rachid

Author_Institution

Lab. ASTI, Univ. Hassan 1er, Maroc, France

fYear

2010

fDate

Sept. 30 2010-Oct. 2 2010

Firstpage

1

Lastpage

4

Abstract

This paper presents a new classification and search method of 3D object features views. This method is an application of algorithms: 1) Charm for an object views classification purpose 2) Algorithm for extracting association rules in order to extract the characteristic view. We use the geometric descriptor of Zernike Moments to index 2D views of 3D object. The proposed method relies on a Bayesian probabilistic approach for search queries. The resulting outcome is presented by a collection of 120 3D models of the Princeton-based benchmark and then compared to those obtained from conventional methods.

Keywords

Bayes methods; Zernike polynomials; classification; computer graphics; data mining; indexing; query formulation; 3D object features; Bayesian probabilistic approach; CHARM Algorithm; Zernike Moments; association rules; classification; geometric descriptor; indexation; search method; search queries; Association rules; Classification algorithms; Search problems; Shape; Solid modeling; Three dimensional displays; CHARM; Model 3D; Zernike Moment; association rules; characteristic views; indexation 3D;

fLanguage

English

Publisher

ieee

Conference_Titel

I/V Communications and Mobile Network (ISVC), 2010 5th International Symposium on

Conference_Location

Rabat

Print_ISBN

978-1-4244-5996-4

Type

conf

DOI

10.1109/ISVC.2010.5656167

Filename

5656167