{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00186090","sets":["1164:4619:9352:9415"]},"path":["9415"],"owner":"11","recid":"186090","title":["支配的平面の情報を用いた最適補正による砂浜の広範囲な3次元復元"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-02-22"},"_buckets":{"deposit":"88cbe50d-65fd-45a4-9f77-f55ad7930c7e"},"_deposit":{"id":"186090","pid":{"type":"depid","value":"186090","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"支配的平面の情報を用いた最適補正による砂浜の広範囲な3次元復元","author_link":["416082","416083","416084","416087","416085","416086"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"支配的平面の情報を用いた最適補正による砂浜の広範囲な3次元復元"},{"subitem_title":"Accurate 3-D Reconstruction method for a Large Sandy Beach by Optimal Corrections using Dominant Plane","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2018-02-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"豊橋技術科学大学情報・知能工学系"},{"subitem_text_value":"豊橋技術科学大学情報・知能工学系"},{"subitem_text_value":"豊橋技術科学大学情報・知能工学系"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Computer Science and Engineering, Toyohashi University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science and Engineering, Toyohashi University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science and Engineering, Toyohashi University of Technology","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/186090/files/IPSJ-CVIM18211008.pdf","label":"IPSJ-CVIM18211008.pdf"},"date":[{"dateType":"Available","dateValue":"2020-02-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM18211008.pdf","filesize":[{"value":"611.8 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":"00fb8a5b-21eb-4dae-8112-56a874d89bd4","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":"松永, 竜太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"橋本, 瑞樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"金澤, 靖"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryotaro, Matsunaga","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mizuki, Hashimoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yasushi, Kanazawa","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":"本稿では，砂浜のように広大でほぼ平面状のシーンに対し，ドローンから撮影した映像を用いた高精度な 3 次元復元方法を提案する．このような平面状シーンに対しては，基礎行列あるいは基本行列ベースの復元では退化あるいは退化に近い条件であるため，カメラ運動の計算の誤差が大きくなり，結果として復元した形状に歪みが生じやすいという問題がある．提案法では，シーン内の支配的平面から計算した射影変換を用い，平面拘束に基づく最適補正による復元を行うだけでなく，砂浜の起伏部分に対しても，求めた支配的平面からのパララクスを利用した最適補正による復元を行う．そしてそれぞれの復元結果を合成してバンドル調整を行うことで，広範囲な砂浜形状を高精度に復元できる．実際のドローン映像を用いた実験により，提案法の有効性を示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose an accurate reconstruction method using homography and planar parallax for an almost planar scene like a sandy beach from the video by a drone. By using essential matrix or fundamental matrix based method for such a planar scene, a reconstructed shape often distorts because of degeneration of the scene. In order to reconstruct accurate shape for such a scene, we adopt homography-based reconstruction. In our method, using the homography computed from dominant plane in the scene, we can not only accurate dominant plane shape but also the undulation in the scene. For doing this, we adopt optimal computation for homography, optimal correction for planar triangulation, and optimal correction with parallax. By combining the reconstructed shapes and using bundle adjustment, we can obtaind a large accurate 3-D reconstruction for the scene. We show the effectiveness of the our method by real image experiments.","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":"2018-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"8","bibliographicVolumeNumber":"2018-CVIM-211"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":186090,"updated":"2025-01-20T02:43:00.121741+00:00","links":{},"created":"2025-01-19T00:53:08.634418+00:00"}