{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00051844","sets":["1164:4619:4620:4624"]},"path":["4624"],"owner":"1","recid":"51844","title":["シーンモデルを利用した移動カメラキャリブレーション方式"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-03-10"},"_buckets":{"deposit":"83cc553e-d53e-4ad1-a5b6-217ec3189f19"},"_deposit":{"id":"51844","pid":{"type":"depid","value":"51844","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"シーンモデルを利用した移動カメラキャリブレーション方式","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"シーンモデルを利用した移動カメラキャリブレーション方式"},{"subitem_title":"Moving Camera Calibration Using Generated Model of a Scene","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-03-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"映像通信グループKDDI研究所"},{"subitem_text_value":"映像通信グループKDDI研究所"},{"subitem_text_value":"映像通信グループKDDI研究所"},{"subitem_text_value":"映像通信グループKDDI 研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Visual Communication Laboratory, KDDI R&D Laboratories Inc.","subitem_text_language":"en"},{"subitem_text_value":"Visual Communication Laboratory, KDDI R&D Laboratories Inc.","subitem_text_language":"en"},{"subitem_text_value":"Visual Communication Laboratory, KDDI R&D Laboratories Inc.","subitem_text_language":"en"},{"subitem_text_value":"Visual Communication Laboratory, KDDI R&D Laboratories Inc.","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/51844/files/IPSJ-CVIM08162012.pdf"},"date":[{"dateType":"Available","dateValue":"2010-03-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM08162012.pdf","filesize":[{"value":"737.0 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":"9f130632-581e-42bb-9fbc-41e306a64001","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"メヒルダド・パナヒプル・テヘラニ"},{"creatorName":"石川, 彰夫"},{"creatorName":"酒澤, 茂之"},{"creatorName":"小池, 淳"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mehrdad, PanahpourTehrani","creatorNameLang":"en"},{"creatorName":"Akio, Ishikawa","creatorNameLang":"en"},{"creatorName":"Shigeyuki, Sakazawa","creatorNameLang":"en"},{"creatorName":"Atsushi, Koike","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ユーザにより生成されたシーンのモデルを利用した自動カメラキャリブレーションアルゴリズムを提案する。新しいアプローチとして、フレームごとに撮影画像と生成モデルの間でSIFT等の方式によって特徴点を検出し、マッチングを行う。マッチング自体は、ANN探索手法、SIFTマッチング法が適用可能である。 また、その結果得られた特徴点ペアに対して、幾何的に対応しないものを排除する手法を導入し、ヒストグラム分布による絞り込み、RANSAC/LMedS反復法と基礎行列算出、逐次精密化のアルゴリズムを採用した。 実験の結果、オクルージョンや劣悪な照明環境においてもロバストに、幾何的に対応する特徴点ペアのみが単一フレームから検出できることを確認した。 これにより、移動カメラのキャリブレーションを高精度に実現可能となる。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose an automatic camera calibration algorithm using generated model of a scene by user. In our approach, for each frame, the algorithm detects feature points in image and the model using SIFT or any other feature detectors. Matching can be performed using ANN search method, SIFT matching algorithm or any other matching algorithm. Non-geometrically matched features points are suppressed by using “histogram based suppression”, “RANSAC/LMedS iteration and fundamental matrix calculation” and “iterative refinement”. The detected feature points are used for camera calibration. Experimental results show that the proposed method can robustly detect geometrically matched feature points in the case of occlusion and bad lightening condition; therefore it can be used for precise moving camera calibration.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"72","bibliographic_titles":[{"bibliographic_title":"情報処理学会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":"67","bibliographicIssueDates":{"bibliographicIssueDate":"2008-03-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"27(2008-CVIM-162)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":51844,"updated":"2025-01-22T07:01:20.777494+00:00","links":{},"created":"2025-01-18T23:16:18.078302+00:00"}