An efficient method for 3D objects retrieval based on fixed number of 2D views approach

Author

Mhamdi, M. A Alaoui ; Ziou, D. ; Lachkar, A. ; El Alaoui Ouatik, S.

Author_Institution

Dept. d´´Inf., Univ. de Sherbrooke, Sherbrooke, QC, Canada

fYear

2010

fDate

Sept. 30 2010-Oct. 2 2010

Firstpage

1

Lastpage

4

Abstract

In this paper an efficient method for 3D objects indexing and retrieval is presented. It is based on a set of six 2D views extracting using the projection box after a scale and pose normalization of the 3D models using PCA. Afterwards, we binarize each 2D view associated with the 3D object and we extract its external contour that represents its associated 2D shape. The Similarity among the 2D shapes is computed using our early proposed 2D shape descriptor based on multi-scale analysis. The experimental results illustrate the efficiency of our proposed method.

Keywords

content-based retrieval; object recognition; principal component analysis; shape recognition; solid modelling; vocabulary; 2D shape descriptor; 2D view approach; 3D model; 3D object retrieval; PCA; external contour; multiscale analysis; object indexing; pose normalization; projection box; Computational modeling; Databases; Principal component analysis; Robustness; Shape; Solid modeling; Three dimensional displays; 2D Views Selection; 3D Indexing and retrieval; Shape Descriptor; Three-dimensional model;

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.2010.5654898

Filename

5654898