DocumentCode
3585514
Title
The 3D Model Retrieval Based on Local Features
Author
Lei Huo ; Xueqiang Lv ; Kai Zhang ; Zhuo Li
Author_Institution
Beijing Key Lab. of Internet Culture & Digital Dissemination Res., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Volume
2
fYear
2014
Firstpage
400
Lastpage
403
Abstract
When using global features for 3D model retrieval, we ignore the local similarity of 3D model. To solve this problem, we propose a 3D model retrieval method based on local features. First, calculate the normal of each vertex, get the normal projection of each vertex and identify salient points according to the SURF feature of the projection. Extract the local feature around the salient points obtained, and use the local feature to update the global similarity. The experimental results show that this method can effectively improve the 3D model retrieval precision.
Keywords
feature extraction; information retrieval; 3D model retrieval; SURF feature; local feature extraction; salient points; Analytical models; Computational modeling; Feature extraction; Marine animals; Shape; Solid modeling; Three-dimensional displays; 3D model retrieval; Local feature; SURF; salient point;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN
978-1-4799-7004-9
Type
conf
DOI
10.1109/ISCID.2014.61
Filename
7082016
Link To Document