OFS: A feature selection method for shape-based 3D model retrieval

Fan Yang; Biao Leng

doi:10.1109/CADCG.2007.4407866

OFS: A feature selection method for shape-based 3D model retrieval

Fan Yang^*
, Biao Leng

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

We focus on improving the effectiveness of shape-based similarity retrieval in 3D model repositories. Motivated by retrieval performance of several individual 3D model descriptors for projected images in shape-based approaches, we present an optimized feature selection (OFS) method to choose a perfect feature vector based on each query model. Experimental results show that the OFS method for shape-based 3D model retrieval has achieved significant improvements on retrieval effectiveness of 3D shape search with several measures on a standard 3D database, and it provides a retrieval performance 45.5% better than the average precision of several descriptors. Compared to the currently best method Light Field Descriptor (LFD), OFS has better retrieval effectiveness. Furthermore, the feature vector components of our approach are only 6.77% of that in LFD.

Original language	English
Title of host publication	Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007
Pages	114-119
Number of pages	6
DOIs	https://doi.org/10.1109/CADCG.2007.4407866
State	Published - 2007
Externally published	Yes
Event	2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007 - Beijing, China Duration: 15 Oct 2007 → 18 Oct 2007

Publication series

Name	Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007

Conference

Conference	2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007
Country/Territory	China
City	Beijing
Period	15/10/07 → 18/10/07

Access to Document

10.1109/CADCG.2007.4407866

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Yang, F., & Leng, B. (2007). OFS: A feature selection method for shape-based 3D model retrieval. In Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007 (pp. 114-119). Article 4407866 (Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007). https://doi.org/10.1109/CADCG.2007.4407866

@inproceedings{c04c1c48486f4fa69f19f87c430148bf,

title = "OFS: A feature selection method for shape-based 3D model retrieval",

abstract = "We focus on improving the effectiveness of shape-based similarity retrieval in 3D model repositories. Motivated by retrieval performance of several individual 3D model descriptors for projected images in shape-based approaches, we present an optimized feature selection (OFS) method to choose a perfect feature vector based on each query model. Experimental results show that the OFS method for shape-based 3D model retrieval has achieved significant improvements on retrieval effectiveness of 3D shape search with several measures on a standard 3D database, and it provides a retrieval performance 45.5\% better than the average precision of several descriptors. Compared to the currently best method Light Field Descriptor (LFD), OFS has better retrieval effectiveness. Furthermore, the feature vector components of our approach are only 6.77\% of that in LFD.",

author = "Fan Yang and Biao Leng",

year = "2007",

doi = "10.1109/CADCG.2007.4407866",

language = "英语",

isbn = "9781424415793",

series = "Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007",

pages = "114--119",

booktitle = "Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007",

note = "2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007 ; Conference date: 15-10-2007 Through 18-10-2007",

}

Yang, F & Leng, B 2007, OFS: A feature selection method for shape-based 3D model retrieval. in Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007., 4407866, Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007, pp. 114-119, 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007, Beijing, China, 15/10/07. https://doi.org/10.1109/CADCG.2007.4407866

OFS: A feature selection method for shape-based 3D model retrieval. / Yang, Fan; Leng, Biao.
Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007. 2007. p. 114-119 4407866 (Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We focus on improving the effectiveness of shape-based similarity retrieval in 3D model repositories. Motivated by retrieval performance of several individual 3D model descriptors for projected images in shape-based approaches, we present an optimized feature selection (OFS) method to choose a perfect feature vector based on each query model. Experimental results show that the OFS method for shape-based 3D model retrieval has achieved significant improvements on retrieval effectiveness of 3D shape search with several measures on a standard 3D database, and it provides a retrieval performance 45.5% better than the average precision of several descriptors. Compared to the currently best method Light Field Descriptor (LFD), OFS has better retrieval effectiveness. Furthermore, the feature vector components of our approach are only 6.77% of that in LFD.

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Yang F, Leng B. OFS: A feature selection method for shape-based 3D model retrieval. In Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007. 2007. p. 114-119. 4407866. (Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007). doi: 10.1109/CADCG.2007.4407866

OFS: A feature selection method for shape-based 3D model retrieval

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