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Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression
https://ipsj.ixsq.nii.ac.jp/records/101511
https://ipsj.ixsq.nii.ac.jp/records/1015111e840754-61a0-40b5-b283-d3f231e42602
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-TCVA0100025.pdf (6.2 MB)
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Copyright (c) 2009 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Trans(1) | |||||||
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| 公開日 | 2009-09-24 | |||||||
| タイトル | ||||||||
| タイトル | Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | Research Paper | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
| 資源タイプ | journal article | |||||||
| 著者所属 | ||||||||
| Kyoto University | ||||||||
| 著者所属 | ||||||||
| Kyoto University / Presently with SANYO Electric Co., Ltd | ||||||||
| 著者所属 | ||||||||
| Kyoto University / Presently with Panasonic Corporation | ||||||||
| 著者所属 | ||||||||
| Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Kyoto University / Presently with SANYO Electric Co., Ltd | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Kyoto University / Presently with Panasonic Corporation | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Kyoto University | ||||||||
| 著者名 |
Shohei, Nobuhara
× Shohei, Nobuhara
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| 著者名(英) |
Shohei, Nobuhara
× Shohei, Nobuhara
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | This paper presents a novel approach for simultaneous silhouette extraction from multi-viewpoint images. The main contribution of this paper is a new algorithm for 1) 3D context aware error detection and correction of 2D multi-viewpoint silhouette extraction and 2) 3D context aware classification of cast shadow regions. Our method takes both monocular image segmentation and background subtraction of each viewpoint as its inputs, but does not assume they are correct. Inaccurate segmentation and background subtraction are corrected through our iterative method based on inter-viewpoint checking. Some experiments quantitatively demonstrate advantages against previous approaches. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | This paper presents a novel approach for simultaneous silhouette extraction from multi-viewpoint images. The main contribution of this paper is a new algorithm for 1) 3D context aware error detection and correction of 2D multi-viewpoint silhouette extraction and 2) 3D context aware classification of cast shadow regions. Our method takes both monocular image segmentation and background subtraction of each viewpoint as its inputs, but does not assume they are correct. Inaccurate segmentation and background subtraction are corrected through our iterative method based on inter-viewpoint checking. Some experiments quantitatively demonstrate advantages against previous approaches. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA12394973 | |||||||
| 書誌情報 |
IPSJ Transactions on Computer Vision and Applications（CVA） 巻 1, p. 242-259, 発行日 2009-09-24 |
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| ISSN | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 1882-6695 | |||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
