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- GUO Ruiqi
- School of Engineering, Tohoku University
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- OMACHI Shinichiro
- Graduate School of Engineering, Tohoku University
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- ASO Hirotomo
- Graduate School of Engineering, Tohoku University
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抄録
To segment a shape into parts is an important problem in shape representation and analysis. We propose in this paper a novel framework of shape segmentation using deformation models learned from multiple shapes. The deformation model from the target image to every other image is then estimated. Finally, normalized-cut graph partition is applied to the graph constructed based on the similarity of local patches in the target image, and a segmentation of the shape is carried out. Experimental results for images from MPEG7 shape database show the effectiveness of the proposed method.
収録刊行物
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E92-D (6), 1296-1303, 2009
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390001204378473216
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- NII論文ID
- 10026809880
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- NII書誌ID
- AA10826272
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- ISSN
- 17451361
- 09168532
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- 本文言語コード
- en
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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