書誌事項
- タイトル別名
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- 1102 Euclidean Symmetry Detection from High-resolution X-ray CT Scanned Model
抄録
We propose the method that detects Euclidean symmetries from scanned meshes of mechanical objects based on a combination of ICP and Region Growing algorithms. Our method can robustly detect Euclidean symmetries, including translation, rotation, and planar reflection, from noisy scanned meshes. Our method also can detect maximally large symmetries under the user specified tolerances from scanned meshes that contain many planar regions. The effectiveness of the method is verified by using various scanned meshes of mechanical objects.
収録刊行物
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- 生産システム部門講演会講演論文集
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生産システム部門講演会講演論文集 2008 (0), 11-12, 2008
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390001205899751168
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- NII論文ID
- 110007706058
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- ISSN
- 24243108
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可