DocumentCode :
594786
Title :
A sketch-based 3D model retrieval system
Author :
Ke Ding ; Yunhui Liu
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
601
Lastpage :
604
Abstract :
In this paper, we propose a 3D model retrieval system using sketch queries. The 3D model is described by a single characteristic view with the biggest exposure opportunity. The sketch query and the characteristic view are divided into several parts. Each part is quantized into a Fourier descriptor, and the spatial arrangements of these parts are measured by the graph spectra. Our contributions are as follows: (1) We propose a new characteristic view, namely, the Biggest Exposure Opportunity View (BEOV) to represent a 3D model; (2) The details inside the sketch query and the BEOV are considered. Experiments were evaluated using the Princeton shape benchmark data sets. Our approach improves the retrieval precision and reduces the computational cost when compared with the National Taiwan University (NTU) 3D model search engine [1].
Keywords :
Fourier analysis; graph theory; query processing; search engines; solid modelling; BEOV; Fourier descriptor; NTU; National Taiwan University 3D model search engine; Princeton shape benchmark data sets; biggest exposure opportunity view; computational cost; graph spectra; sketch queries; sketch-based 3D model retrieval system; Cameras; Computational modeling; Laplace equations; Search engines; Shape; Solid modeling; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460206
Link To Document :
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