Abstract | ||
---|---|---|
In recent years, the demand for a content-based 3D model retrieval system becomes an important issue. In this paper, the cylindrical projection descriptor (CPD) will be proposed for 3D model retrieval. To derive better retrieval results, the CPD will be combined with the radial distance descriptor (RDD). 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 |
---|---|---|
2010 | 10.1109/BWCCA.2010.130 | BWCCA |
Keywords | Field | DocType |
model retrieval system,cylindrical projection descriptor,important issue,princeton shape benchmark,better retrieval result,experiment result,model retrieval,recent year,radial distance descriptor,computational modeling,shape,solid modeling,databases,feature extraction | Computer vision,Map projection,Computer science,Solid modelling,Feature extraction,Solid modeling,Artificial intelligence,Content based retrieval | Conference |
Citations | PageRank | References |
0 | 0.34 | 21 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jau-Ling Shih | 1 | 217 | 11.64 |
Chang-Hsing Lee | 2 | 439 | 31.86 |
Chih-Hsun Chou | 3 | 207 | 22.27 |
Hsiang-Yuen Chang | 4 | 0 | 0.34 |