| Data Science Journal | |
| A Visual Similarity-Based 3D Search Engine | |
| Elmustapha Ait Lmaati1  Ahmed El Oirrak1  M. N. Kaddioui1  | |
| [1] Department of Computer Science, Faculty of Science, Cadi Ayyad University | |
| 关键词: Retrieval system; Search engine; 3D objects; Combination of 3D descriptors; Information retrieval; | |
| DOI : 10.2481/dsj.007-069 | |
| 学科分类:计算机科学(综合) | |
| 来源: Ubiquity Press Ltd. | |
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【 摘 要 】
References(19)Retrieval systems for 3D objects are required because 3D databases used around the web are growing. In this paper, we propose a visual similarity based search engine for 3D objects. The system is based on a new representation of 3D objects given by a 3D closed curve that captures all information about the surface of the 3D object. We propose a new 3D descriptor, which is a combination of three signatures of this new representation, and we implement it in our interactive web based search engine. Our method is compared to some state of the art methods, tested using the Princeton-Shape Benchmark as a large database of 3D objects. The experimental results show that the enhanced curve analysis descriptor performs well.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201911300093440ZK.pdf | 486KB |
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