Content-based 3-D Shape Retrieval for Pervasive Computing

Author

Xu, Dong ; Li, Hua ; Lin, Zongkai

Author_Institution

Key Lab. of Intelligent Inf. Process., Chinese Acad. of Sci.

fYear

2006

fDate

3-5 Aug. 2006

Firstpage

206

Lastpage

211

Abstract

3D models are a new kind of cross-media resource which can be frequently seen in the network. Since the amount of them is very huge now, content-based retrieval can help to recognize a certain object or retrieve similar ones from the giant database. This paper presents a new method for deriving 3D moment invariants and uses them as shape descriptors for the representation of 3D models. They are insensitive to surface noise and can be used in pervasive environment conveniently. We also illustrate how to build up experimental system and simulate 3D shape retrieval in wireless environment

Keywords

content-based retrieval; image retrieval; solid modelling; ubiquitous computing; 3D models; 3D moment invariants; content-based 3D shape retrieval; content-based retrieval; cross-media resource; pervasive computing; pervasive environment conveniently; shape descriptors; wireless environment; wireless network; Application software; Computer networks; Content based retrieval; Humans; Information retrieval; Intelligent networks; Internet; Laboratories; Pervasive computing; Shape; 3-D Shape Retrieval; Cross-Media; Moment Invariants; Pervasive Computing; Wireless Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing and Applications, 2006 1st International Symposium on

Conference_Location

Urumqi

Print_ISBN

1-4244-0326-x

Electronic_ISBN

1-4244-0326-x

Type

conf

DOI

10.1109/SPCA.2006.297569

Filename

4079140