{"updated":"2025-01-19T20:11:31.142340+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00204463","sets":["1164:4619:10081:10200"]},"path":["10200"],"owner":"44499","recid":"204463","title":["3次元点群を用いた深層学習による発破ずりの粒度分布推定法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-05-07"},"_buckets":{"deposit":"89dc7da6-81fc-4821-9c49-d9431d626c4a"},"_deposit":{"id":"204463","pid":{"type":"depid","value":"204463","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"3次元点群を用いた深層学習による発破ずりの粒度分布推定法","author_link":["506347","506345","506346"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"3次元点群を用いた深層学習による発破ずりの粒度分布推定法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"卒論スポットライトセッション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2020-05-07","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学理工情報生命学術院システム情報工学研究群"},{"subitem_text_value":"筑波大学計算科学研究センター"},{"subitem_text_value":"筑波大学計算科学研究センター"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Degree Programs in Systems and Information Engineering, Graduate School of Science and Technology, Tsukuba University","subitem_text_language":"en"},{"subitem_text_value":"Center for Computational Sciences, Tsukuba University","subitem_text_language":"en"},{"subitem_text_value":"Center for Computational Sciences, Tsukuba 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/204463/files/IPSJ-CVIM20222031.pdf","label":"IPSJ-CVIM20222031.pdf"},"date":[{"dateType":"Available","dateValue":"2022-05-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM20222031.pdf","filesize":[{"value":"9.3 MB"}],"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":"b8a4e867-e8dc-4a5c-972d-2e9a98b5350d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"吉野, 航平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宍戸, 英彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"北原, 格"}],"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":"発破ずりとは，岩山を爆破した後に形成される岩石の山の名称である．鉱山工学の分野では，発破ずりに含まれる各岩石の粒度分布推定が重要な研究課題とされている．本研究では，発破ずりを多視点で撮影した画像群からその 3 次元点群を復元し，3 次元点群を入力，発破ずりの粒度分布を出力とする深層学習を行うことにより，岩石群の粒度分布を推定する手法を提案する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","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":"2020-05-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"31","bibliographicVolumeNumber":"2020-CVIM-222"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:06:44.127684+00:00","id":204463,"links":{}}