{"created":"2025-01-18T23:17:05.672270+00:00","updated":"2025-01-22T06:34:44.290312+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00052862","sets":["1164:4619:4662:4668"]},"path":["4668"],"owner":"1","recid":"52862","title":["パラメータ空間分割による段階的モデルマッチングを用いた3次元物体認識"],"pubdate":{"attribute_name":"公開日","attribute_value":"2001-01-18"},"_buckets":{"deposit":"68d10873-4858-4c30-b330-595419523c9f"},"_deposit":{"id":"52862","pid":{"type":"depid","value":"52862","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"パラメータ空間分割による段階的モデルマッチングを用いた3次元物体認識","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"パラメータ空間分割による段階的モデルマッチングを用いた3次元物体認識"},{"subitem_title":"3 - D Object Recognition based on Two - Staged Model Matching using a Projective Invariant","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2001-01-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学知能ロボット研究室"},{"subitem_text_value":"筑波大学知能ロボット研究室"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Intelligent Robot Laboratory, University of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":"Intelligent Robot Laboratory, University of Tsukuba","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/52862/files/IPSJ-CVIM00125009.pdf"},"date":[{"dateType":"Available","dateValue":"2003-01-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM00125009.pdf","filesize":[{"value":"1.2 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":"2c80db6d-9e13-4da2-add2-9b8daa716444","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2001 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"友納, 正裕"},{"creatorName":"油田信一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masahiro, Tomono","creatorNameLang":"en"},{"creatorName":"Shin-Ichi, Yuta","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":"本稿では、1枚の画像から多面体モデルを用いて3次元物体を認識する手法を提案する。この手法は、モデルエッジと画像エッジを照合することにより物体認識と姿勢推定を行う。その際、透視投影での投影線分に関する不変量を用いて、6次元の姿勢空間を平行移動パラメータと回転パラメータの2つの3次元空間に分割し、計算量を削減する。この方法は、物体の姿勢範囲が限定されている場合に計算量を大幅に削減できる特徴がある。また、画像エッジは直線部分が抽出されていればよく、弱コントラストによる雑音エッジやオクルージョンによるエッジ分断に強い。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper presents a method for 3-D object recognition from a single 2-D image based on a polyhedral model. The method matches model edges with image edges to identify a target object and to estimate its pose, In the process, the method divides the six-dimensional pose space into two three-dimensional spaces, that is, location space and orientation space using an invariant with respect to perspective projection. This makes the time complexity low-order polynomial. Furthermore, the recognition time can be greatly reduced if the orientation is constrained because the complexity is proportional to the range of object's orientation. The method is robust against noise and small occlusion in image edges.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"78","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":"71","bibliographicIssueDates":{"bibliographicIssueDate":"2001-01-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4(2000-CVIM-125)","bibliographicVolumeNumber":"2001"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":52862,"links":{}}