Name
Abstract | ||
|---|---|---|
In this paper a novel method for 3D model content-based search and retrieval based on the 3D Radon Transform and a querying-by-3D-model approach, is presented. Descriptors are extracted using the 3D Radon Transform and applying a set of functionals on the transform coefficients. Similarity measures are then created for the extracted descriptors and introduced into a 3D model-matching algorithm. This results to a very fast and accurate matching method. Experiments were performed using two different databases and comparing the proposed method with others. Experimental results show that the proposed method can be used for 3D model search and retrieval in a highly efficient manner. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/3DPVT.2004.114 | 3DPVT |
Keywords | Field | DocType |
novel method,shape matching,model-matching algorithm,different databases,model search,radon transform,efficient manner,accurate matching method,model content-based search,feature extraction,computational geometry | Histogram,Pattern recognition,Image matching,Solid modelling,Computational geometry,Volume measurement,Feature extraction,Solid modeling,Artificial intelligence,Radon transform,Mathematics | Conference |
ISBN | Citations | PageRank |
0-7695-2223-8 | 10 | 0.68 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Petros Daras | 1 | 1129 | 131.72 |
| Dimitrios Zarpalas | 2 | 303 | 33.96 |
| Dimitrios Tzovaras | 3 | 1377 | 205.82 |
| Michael Gerasimos Strintzis | 4 | 1171 | 104.83 |