{"links":{},"id":52028,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00052028","sets":["1164:4619:4626:4628"]},"path":["4628"],"owner":"1","recid":"52028","title":["多視点画像を用いた対象および影領域抽出法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2007-05-15"},"_buckets":{"deposit":"08d76aae-da16-4dee-81fd-33b4e971a247"},"_deposit":{"id":"52028","pid":{"type":"depid","value":"52028","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"多視点画像を用いた対象および影領域抽出法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"多視点画像を用いた対象および影領域抽出法"},{"subitem_title":"Shadow Carving: Accurate Object Silhouette Extraction from Multi-viewpoint Images","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2007-05-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"京都大学大学院情報学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto 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/52028/files/IPSJ-CVIM07159011.pdf"},"date":[{"dateType":"Available","dateValue":"2009-05-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM07159011.pdf","filesize":[{"value":"1.1 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":"fc0a90c5-eed6-450c-8c8c-2b0a737c1f24","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2007 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"津田, 佳行"},{"creatorName":"延原, 章平"},{"creatorName":"松山, 隆司"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yoshiyuki, TSUDA","creatorNameLang":"en"},{"creatorName":"Shohei, NOBUHARA","creatorNameLang":"en"},{"creatorName":"Takashi, MATSUYAMA","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":"本論文では多視点情報を用いた高精度シルエット抽出法を提案する。視体積交差法による三次元形状復元は、少ない計算量で安定して対象物体の三次元形状の概形が得られるため広く用いられている。しかし、シルエット抽出には対象自身によるキャストシャドウ、背景との色の類似など、一視点からのみの情報では対処し難い問題が存在する。そこで我々は多視点情報と撮影環境の事前知識を用いて三次元空間上で影の存在しうる領域を特定することにより、これらの問題を同時に解決する手法を提案する。また、実画像を用いた実験によりその有効性を検証する。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a method for accurate object silhouette extraction from multi-viewpoint images. Shape-from-silhouette is one of the most widely used methods of 3D shape reconstruction since it reconstructs rough 3D shape stably with a little calculation. However, it is difficult to obtain accurate silhouette using each single-viewpoint information because of cast shadow, similarity of the color between object and background, and so on. To solve this problem, we detect shadow region using multi-viewpoint information and geometry of studio. We show some experimental results with real examples.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"104","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":"97","bibliographicIssueDates":{"bibliographicIssueDate":"2007-05-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"42(2007-CVIM-159)","bibliographicVolumeNumber":"2007"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:16:26.637515+00:00","updated":"2025-01-22T06:57:44.387827+00:00"}