Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hu, Jwu-Sheng | en_US |
| dc.contributor.author | Su, Tzung-Min | en_US |
| dc.date.accessioned | 2014-12-08T15:10:27Z | - |
| dc.date.available | 2014-12-08T15:10:27Z | - |
| dc.date.issued | 2009-01-01 | en_US |
| dc.identifier.issn | 1016-2364 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11536/7978 | - |
| dc.description.abstract | This work proposes an incremental combinational algorithm to generate the prototype of a 3D object using 2D images randomly sampled from a viewing sphere. Similarity-based aspect-graph, which contains a set of aspects and prototypes for these aspects, is employed to represent the database of 3D objects. Furthermore, the proposed algorithm is based on low-level features and similarity measures between the features. In this work, the Fourier descriptor and point-to-point lengths are adopted as features, and three similarity measures, called the 1-norm, 2-norm, and K-L distance, are adopted to extract characteristic views. The effectiveness of the proposed algorithm is demonstrated by experiments with an updating mechanism. | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | aspect-graph | en_US |
| dc.subject | fourier descriptor | en_US |
| dc.subject | object recognition | en_US |
| dc.subject | shape memorization | en_US |
| dc.subject | similarity measure | en_US |
| dc.title | Shape Memorization and Recognition of 3D Objects Using a Similarity-Based Aspect-Graph Approach | en_US |
| dc.type | Article | en_US |
| dc.identifier.journal | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING | en_US |
| dc.citation.volume | 25 | en_US |
| dc.citation.issue | 1 | en_US |
| dc.citation.spage | 289 | en_US |
| dc.citation.epage | 301 | en_US |
| dc.contributor.department | 電控工程研究所 | zh_TW |
| dc.contributor.department | Institute of Electrical and Control Engineering | en_US |
| dc.identifier.wosnumber | WOS:000262732000016 | - |
| Appears in Collections: | Conferences Paper | |
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