Tree-structured Mesoscopic Surface Characterization for Kinematic Structure Estimation from 3D Video

• Item type: Trans(1)
• 公開日: 2014-03-24
• タイトル: Tree-structured Mesoscopic Surface Characterization for Kinematic Structure Estimation from 3D Video
• タイトル / 言語: en
• タイトル: Tree-structured Mesoscopic Surface Characterization for Kinematic Structure Estimation from 3D Video
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [Regular Paper - Resarch Paper] mesoscopic surface characterization, kinematic structure, motion analysis, 3D video
• 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: Graduate School of Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者名: Tomoyuki, Mukasa; Shohei, Nobuhara; Tony, Tung; Takashi, Matsuyama
• 著者名(英): Tomoyuki, Mukasa; Shohei, Nobuhara; Tony, Tung; Takashi, Matsuyama
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: This paper presents a new approach to estimate the kinematic structure underlying a sequence of 3D dynamic surfaces reconstructed from multi-view video. The key idea is a mesoscopic surface characterization with a tree-structure constraint. Combined with different levels of surface characterizations, namely macroscopic and microscopic characterizations, our mesoscopic surface characterization can cope with shape estimation errors and global topology changes of 3D surfaces from the real world to estimate kinematic structure. The macroscopic analysis focuses on global surface topology to perform temporal segmentation of 3D video sequence into topologically-coherent sub-sequences. The microscopic analysis operates at the mesh structure level to provide temporally consistent mesh structures using a surface alignment method on each of the topologically-coherent sub-sequences. Then, the mesoscopic analysis extracts rigid parts from the preprocessed 3D video segments to establish partial kinematic structures, and integrates them into a single unified kinematic model. Quantitative evaluations using synthesized and real data demonstrate the performance of the proposed algorithm for kinematic structure estimation.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: This paper presents a new approach to estimate the kinematic structure underlying a sequence of 3D dynamic surfaces reconstructed from multi-view video. The key idea is a mesoscopic surface characterization with a tree-structure constraint. Combined with different levels of surface characterizations, namely macroscopic and microscopic characterizations, our mesoscopic surface characterization can cope with shape estimation errors and global topology changes of 3D surfaces from the real world to estimate kinematic structure. The macroscopic analysis focuses on global surface topology to perform temporal segmentation of 3D video sequence into topologically-coherent sub-sequences. The microscopic analysis operates at the mesh structure level to provide temporally consistent mesh structures using a surface alignment method on each of the topologically-coherent sub-sequences. Then, the mesoscopic analysis extracts rigid parts from the preprocessed 3D video segments to establish partial kinematic structures, and integrates them into a single unified kinematic model. Quantitative evaluations using synthesized and real data demonstrate the performance of the proposed algorithm for kinematic structure estimation.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12628065
• 書誌情報: IPSJ Transactions on Computer Vision and Applications （CVA）; 巻 6, p. 12-24, 発行日 2014-03-24
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6695
• 出版者 / 言語: ja
• 出版者: 情報処理学会