{"id":51736,"updated":"2025-01-22T07:05:32.329305+00:00","links":{},"created":"2025-01-18T23:16:13.150669+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00051736","sets":["1164:4619:4620:4621"]},"path":["4621"],"owner":"1","recid":"51736","title":["画像間のピクセル最適対応を用いた少数枚数画像による3次元形状復元"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-11-20"},"_buckets":{"deposit":"92052dc8-a2da-4261-8e67-509f084d8edd"},"_deposit":{"id":"51736","pid":{"type":"depid","value":"51736","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"画像間のピクセル最適対応を用いた少数枚数画像による3次元形状復元","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"画像間のピクセル最適対応を用いた少数枚数画像による3次元形状復元"},{"subitem_title":"3D Shape Reconstruction Using Optimal Pixel Matching Between Images","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-11-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"会津大学"},{"subitem_text_value":"会津大学"},{"subitem_text_value":"会津大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"University of Aizu","subitem_text_language":"en"},{"subitem_text_value":"University of Aizu","subitem_text_language":"en"},{"subitem_text_value":"University of Aizu","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/51736/files/IPSJ-CVIM08165016.pdf"},"date":[{"dateType":"Available","dateValue":"2010-11-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM08165016.pdf","filesize":[{"value":"8.2 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":"3fe270d5-7904-40e4-a22e-6e3639872c41","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":"井関, 健太"},{"creatorName":"矢口, 勇一"},{"creatorName":"岡, 隆一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kenta, Iseki","creatorNameLang":"en"},{"creatorName":"Yuichi, Yaguchi","creatorNameLang":"en"},{"creatorName":"Ryuich, Oka","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":"本報告は，任意の対画像のピクセル最適対応を与える 2 次元連続 DP を用い，少ない枚数の画像で精度のよい 3 次元形状が復元できることを示す．従来法が対象物体から連続的に観測した画像列における特徴点の対応系列を利用するのに対して，提案手法は画像集合の 1 枚の画像と任意の他の画像とのすべてのピクセル対応を利用する．ピクセル対応点が稠密に利用できるため 因子分解法によって 3 次元形状を復元する際，少数枚の画像から精密な形状復元ができるピクセル対応関係かメッシュ構造が得られる事を利用し，ドロネー三角網を定義する事なく密なテクスチャマッピングを施すことができる．これらのことを実験で示すとともに，従来法の典型である KLT，SIFT＋因子分解法を同一画像集合に適用し，比較実験も行った．これらの実験で提案手法が従来法より精密な 3 次元形状復元を行うことが分かった．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a method for reconstructing a 3D shape using optimal pixel matching data between images obtained by so-called 2-dimensional Continuous Dynamic Programing (2DCDP). Conventional methods used a sequence of matching feature points obtained from a sequence of of motion image. Our proposed method uses corresponding data of all pixels between a selected image and any other image belonging to the rest of image data. The dense pixel matching data enables to reconstruct 3D shape using only a small number of images when we apply factorization method to the data. The mesh structure is directly obtained by using all pixel matching data o fall pixels, therefore we do not use delaunay triangle mesh to make the texture map on the 3D surface. We conducted the experiments to show the fine reconstruction of 3D shape by a small number of images and also the experiments to compare the result of our method with that of a typical conventional method (SIFT tracking or KLT method and factorization) using the same image data. These results shows that our proposed method is superior to the conventional method.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"108","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":"101","bibliographicIssueDates":{"bibliographicIssueDate":"2008-11-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"115(2008-CVIM-165)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}