Name
Abstract | ||
|---|---|---|
This paper presents a novel methodology for content-based search and retrieval of 3D objects. After proper positioning of the 3D objects using translation and scaling, a set of functionals is applied to the 3D model producing a new domain of concentric spheres. In this new domain, a new set of functionals is applied, resulting in a descriptor vector which is completely rotation invariant and thus suitable for 3D model matching. Further, weights are assigned to each descriptor, so as to significantly improve the retrieval results. Experiments on two different databases of 3D objects are performed so as to evaluate the proposed method in comparison with those most commonly cited in the literature. The experimental results show that the proposed method is superior in terms of precision versus recall and can be used for 3D model search and retrieval in a highly efficient manner. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1155/2007/23912 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
new domain,spherical trace,model matching,descriptor vector,content-based search,different databases,concentric sphere,retrieval result,new set,model search | Computer vision,Model matching,Rotational invariance,Concentric,Computer science,Artificial intelligence,Invariant (mathematics),Content based retrieval,Three dimensional model,Quantum information,Scaling | Journal |
Volume | Issue | ISSN |
2007 | 1 | 1687-6180 |
Citations | PageRank | References |
48 | 1.72 | 19 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dimitrios Zarpalas | 1 | 303 | 33.96 |
| Petros Daras | 2 | 1129 | 131.72 |
| Apostolos Axenopoulos | 3 | 358 | 21.81 |
| Dimitrios Tzovaras | 4 | 1377 | 205.82 |
| Michael Gerasimos Strintzis | 5 | 1171 | 104.83 |