{"id":94963,"updated":"2025-01-21T14:11:23.376719+00:00","links":{},"created":"2025-01-18T23:42:09.684174+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00094963","sets":["934:1162:7067"]},"path":["7067"],"owner":"11","recid":"94963","title":["High-resolution Surface Reconstruction based on Multi-level Implicit Surface from Multiple Range Images"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-08-23"},"_buckets":{"deposit":"d945d757-20b4-4532-8451-9fb5f2597c72"},"_deposit":{"id":"94963","pid":{"type":"depid","value":"94963","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"High-resolution Surface Reconstruction based on Multi-level Implicit Surface from Multiple Range Images","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"High-resolution Surface Reconstruction based on Multi-level Implicit Surface from Multiple Range Images"},{"subitem_title":"High-resolution Surface Reconstruction based on Multi-level Implicit Surface from Multiple Range Images","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[Regular Paper - Reserach Paper] range image, 3D point cloud, alignment, surface reconstruction, resolution enhancement","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2013-08-23","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo"},{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo"},{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/94963/files/IPSJ-TCVA0500028.pdf"},"date":[{"dateType":"Available","dateValue":"2013-08-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCVA0500028.pdf","filesize":[{"value":"6.6 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"3f1fd945-67e8-41c1-ac6b-ac283c3ce8e6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shohei, Noguchi"},{"creatorName":"Yoshihiro, Watanabe"},{"creatorName":"Masatoshi, Ishikawa"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shohei, Noguchi","creatorNameLang":"en"},{"creatorName":"Yoshihiro, Watanabe","creatorNameLang":"en"},{"creatorName":"Masatoshi, Ishikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628065","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-6695","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Sensing the 3D shape of a dynamic scene is not a trivial problem, but it is useful for various applications. Recently, sensing systems have been improved and are now capable of high sampling rates. However, particularly for dynamic scenes, there is a limit to improving the resolution at high sampling rates. In this paper, we present a method for improving the resolution of a 3D shape reconstructed from multiple range images acquired from a moving target. In our approach, the alignment and surface estimation problems are solved in a simultaneous estimation framework. Together with the use of an adaptive multi-level implicit surface for shape representation, this allows us to calculate the alignment by using shape features and surface estimation according to the amount of movement of the point clouds for each range image. By doing so, this approach realized simultaneous estimation more precisely than a scheme involving mere alternating estimation of shape and alignment. We present results of experiments for evaluating the reconstruction accuracy with different point cloud densities and noise levels.","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Sensing the 3D shape of a dynamic scene is not a trivial problem, but it is useful for various applications. Recently, sensing systems have been improved and are now capable of high sampling rates. However, particularly for dynamic scenes, there is a limit to improving the resolution at high sampling rates. In this paper, we present a method for improving the resolution of a 3D shape reconstructed from multiple range images acquired from a moving target. In our approach, the alignment and surface estimation problems are solved in a simultaneous estimation framework. Together with the use of an adaptive multi-level implicit surface for shape representation, this allows us to calculate the alignment by using shape features and surface estimation according to the amount of movement of the point clouds for each range image. By doing so, this approach realized simultaneous estimation more precisely than a scheme involving mere alternating estimation of shape and alignment. We present results of experiments for evaluating the reconstruction accuracy with different point cloud densities and noise levels.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"152","bibliographic_titles":[{"bibliographic_title":"IPSJ Transactions on Computer Vision and Applications （CVA）"}],"bibliographicPageStart":"143","bibliographicIssueDates":{"bibliographicIssueDate":"2013-08-23","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"5"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}