{"id":98008,"updated":"2025-01-21T12:40:46.201580+00:00","links":{},"created":"2025-01-18T23:44:20.484560+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00098008","sets":["1164:4619:7411:7409"]},"path":["7409"],"owner":"11","recid":"98008","title":["[活動報告] TrakMark: AR/MRカメラトラッキングのベンチマーク"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-01-16"},"_buckets":{"deposit":"e9d5ff19-9a44-4917-861d-1182f06bb657"},"_deposit":{"id":"98008","pid":{"type":"depid","value":"98008","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"[活動報告] TrakMark: AR/MRカメラトラッキングのベンチマーク","author_link":["0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"[活動報告] TrakMark: AR/MRカメラトラッキングのベンチマーク"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"CVIMチュートリアル・活動報告","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2014-01-16","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"筑波大学"},{"subitem_text_value":"産業技術総合研究所／筑波大学"},{"subitem_text_value":"筑波大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"立命館大学"}]},"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/98008/files/IPSJ-CVIM14190041.pdf"},"date":[{"dateType":"Available","dateValue":"2016-01-16"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM14190041.pdf","filesize":[{"value":"3.7 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":"70ddc236-c647-4360-a11c-ec43d7d5cf9d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"牧田孝嗣"},{"creatorName":"林将之"},{"creatorName":"蔵田武志"},{"creatorName":"亀田能成"},{"creatorName":"佐藤智和"},{"creatorName":"武富貴史"},{"creatorName":"柴田史久"}],"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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In the development of Mixed and Augmented Reality (MAR) applications, one of the most important technologies is geometric registration and tracking methods, especially vision-based methods. Since the studies on registration and tracking based on computer vision are getting flourishing and many algorithms have being proposed every year, TrakMark WG was established in 2009 to standardize benchmark schemes that permit objective evaluation and comparison of diverse registration and tracking methods. This paper reports on several topics that have been discussed in the WG such as dataset format, benchmark indicators, and the benchmark processes.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In the development of Mixed and Augmented Reality (MAR) applications, one of the most important technologies is geometric registration and tracking methods, especially vision-based methods. Since the studies on registration and tracking based on computer vision are getting flourishing and many algorithms have being proposed every year, TrakMark WG was established in 2009 to standardize benchmark schemes that permit objective evaluation and comparison of diverse registration and tracking methods. This paper reports on several topics that have been discussed in the WG such as dataset format, benchmark indicators, and the benchmark processes.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","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":"2014-01-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"41","bibliographicVolumeNumber":"2014-CVIM-190"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}