| An algorithm for 3D shape matching using spherical sectioning |
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| 引用本文： | LEE Jaeho PARK Joonyoung LEE Hyunchan. An algorithm for 3D shape matching using spherical sectioning[J]. 浙江大学学报(A卷英文版), 2006, 7(9): 1508-1515. DOI: 10.1631/jzus.2006.A1508 |
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| 作者姓名： | LEE Jaeho PARK Joonyoung LEE Hyunchan |
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| 作者单位： | [1]Department of Industrial and System Engmeermg, Dongguk University, Seoul 100715, Korea [2]Department of Industrial Engineering, Hongik University, Seoul 121791, Korea |
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| 摘 要： | 3D shape searching is a problem of current interest in several different fields. Most techniques are developed for a particular domain and used to reduce a shape into a simpler shape representation. The techniques developed for a particular domain will also find application in other domains. We propose a new shape matching method. The SSRD （spherical sectioning railroad diagram） algorithm has the general shape distribution＇s properties and overall features of the original model. The SSRD＇s useful properties are discussed. We show the experimental results for the validity of our method.
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| 关 键 词： | 形状搜索 SSRD 算法 图形匹配 |
| 收稿时间： | 2006-05-20 |
| 修稿时间： | 2006-06-21 |
An algorithm for 3D shape matching using spherical sectioning |
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| Jaeho Lee,Joonyoung Park,Hyunchan Lee. An algorithm for 3D shape matching using spherical sectioning[J]. Journal of Zhejiang University Science, 2006, 7(9): 1508-1515. DOI: 10.1631/jzus.2006.A1508 |
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| Authors: | Jaeho Lee Joonyoung Park Hyunchan Lee |
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| Affiliation: | (1) Department of Industrial and System Engineering, Dongguk University, Seoul, 100715, Korea;(2) Department of Industrial Engineering, Hongik University, Seoul, 121791, Korea |
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| Abstract: | 3D shape searching is a problem of current interest in several different fields. Most techniques are developed for a particular domain and used to reduce a shape into a simpler shape representation. The techniques developed for a particular domain will also find application in other domains. We propose a new shape matching method. The SSRD (spherical sectioning railroad diagram) algorithm has the general shape distribution’s properties and overall features of the original model. The SSRD’s useful properties are discussed. We show the experimental results for the validity of our method. Project supported by the Basic Research Program of the Korea Science & Engineering Foundation (No. R01-2006-000-10327-0), and the Korea Research Foundation Grant funded by the Korean Government (MOEHRD) (No. KRF-2005-041-D00903) |
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| Keywords: | Shape search Similarity metric Shape histogram Spherical sectioning railroad diagram (SSRD) |
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