{"id":185483,"updated":"2025-01-20T02:58:04.204329+00:00","links":{},"created":"2025-01-19T00:52:35.222385+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00185483","sets":["1164:4619:9352:9359"]},"path":["9359"],"owner":"11","recid":"185483","title":["局所形状情報と大域的形状情報の融合による3次元モデル検索に基づく土器片分類手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-01-11"},"_buckets":{"deposit":"c246f304-9594-45d4-8ad3-ca077b5afc86"},"_deposit":{"id":"185483","pid":{"type":"depid","value":"185483","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"局所形状情報と大域的形状情報の融合による3次元モデル検索に基づく土器片分類手法","author_link":["412559","412555","412558","412557","412554","412556"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"局所形状情報と大域的形状情報の融合による3次元モデル検索に基づく土器片分類手法"},{"subitem_title":"Potsherd classification using 3D object retrieval based on local and global features","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般セッション11","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-01-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"慶應義塾大学理工学部"},{"subitem_text_value":"慶應義塾大学理工学部"},{"subitem_text_value":"慶應義塾大学理工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Science and Technology, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Science and Technology, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Science and Technology, Keio University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/185483/files/IPSJ-CVIM18210044.pdf","label":"IPSJ-CVIM18210044.pdf"},"date":[{"dateType":"Available","dateValue":"2020-01-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM18210044.pdf","filesize":[{"value":"308.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f124a217-9e45-481e-a0a8-866e4cfddf8b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鬼木, 一優"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小篠, 裕子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"斎藤, 英雄"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazumasa, Oniki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuko, Ozasa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hideo, Saito","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，複数種類の土器から得られる複数の土器片を同一土器毎に分類することを目標とする．提案手法では，3 次元モデル検索システムにおける土器片の検索結果が同一土器から得られる土器片毎で類似する傾向に基づき，土器の類似検索結果を用いて土器片の特徴を表現する．得られた特徴を GMM によってクラスタリングすることで土器片を複数の組に分類する．実験では，3 次元点群で表現された土器及び土器片を用いて土器片を分類し，4 つの評価手法で提案手法の分類精度を評価する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-01-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"44","bibliographicVolumeNumber":"2018-CVIM-210"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}