Name
Abstract | ||
|---|---|---|
In recent years, the demand for a content-based 3D model retrieval system becomes an important issue. In this study, a novel feature, derivative elevation descriptor (DED), is proposed to extract the exterior information of 3D model. The derivative elevation descriptor (DED) is combined with the elevation descriptor (ED) to retrieval 3D models based on the exterior shape information. Moreover, to derive better retrieval results, we will combine the exterior features with an interior feature 3D-ART by a novel relevance feedback approach. The experiments are conducted on the Princeton shape benchmark (PSB) database. Experiment results show that our proposed method is superior to others. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/APSCC.2008.87 | APSCC |
Keywords | Field | DocType |
content-based 3d model retrieval system,interior feature,3d-art,exterior shape information,novel feature,3d model retrieval,exterior feature,derivative elevation,exterior information,feature extraction,novel relevance feedback approach,image retrieval,derivative elevation descriptor (ded),model retrieval system,exterior features,relevance feedback,derivative elevation descriptor,elevation descriptor,solid modelling,better retrieval result,content-based retrieval,princeton shape benchmark (database,shape,data mining,solid modeling,computational modeling | Distance measurement,Relevance feedback,Pattern recognition,Computer science,Solid modelling,Image retrieval,Feature extraction,Solid modeling,Artificial intelligence,Content based retrieval,Elevation | Conference |
ISBN | Citations | PageRank |
978-0-7695-3473-2 | 1 | 0.35 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jau-Ling Shih | 1 | 217 | 11.64 |
| Ting-Yen Huang | 2 | 1 | 0.35 |
| Yu-Chen Wang | 3 | 34 | 27.05 |