Name
Abstract | ||
|---|---|---|
A method that flatten surface of 3D model is presented. It can flatten the surface of model into a 2D shape as well as automatically cut and partition. The method avoids global and local self-intersections and minimizes the total length of the introduced seams. Then, a 3D models retrieval methodology based on the shape comparison is proposed. By using the flattened surface, pole mapped version normalization and Fourier transform, the shape similarity comparison is performed. The method is effective in capturing characteristics of surface shape. Finally, the experiment results show that our method is better than other methods. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/FSKD.2008.258 | FSKD (4) |
Keywords | Field | DocType |
fourier transforms,shape comparison,fourier transform,virtual reality,founier transform,flattened shape comparison,3d models retrieval methodology,surface flattening,surface shape,model retrieval,visual databases,experiment result,total length,shape similarity comparison,3d databases,image retrieval,solid modelling,pole mapped version normalization,models retrieval methodology,model search,local self-intersections,shape,computational modeling,solid modeling,databases | Active shape model,Normalization (statistics),Pattern recognition,Computer science,Solid modelling,Image retrieval,Fourier transform,Surface shape,Solid modeling,Artificial intelligence,Partition (number theory) | Conference |
Volume | ISBN | Citations |
4 | 978-0-7695-3305-6 | 0 |
PageRank | References | Authors |
0.34 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guisheng Yin | 1 | 195 | 14.69 |
| Huaiyou Chen | 2 | 0 | 0.34 |
| Jing Zhang | 3 | 0 | 0.34 |