{"created":"2023-05-15T11:55:16.628045+00:00","id":132,"links":{},"metadata":{"_buckets":{"deposit":"229e4398-10fa-4fc8-bcd7-cbdfc48c0e73"},"_deposit":{"created_by":3,"id":"132","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"132"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00000132","sets":["15:20"]},"author_link":["637","638","639","640","636","641"],"control_number":"132","item_23_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-07","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"614","bibliographicPageStart":"609","bibliographic_titles":[{"bibliographic_title":"2006 IEEE International Conference on Fuzzy Systems"}]}]},"item_23_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, a novel fuzzy-clustering-basedmethod for 3D shape modeling is proposed. This method isintended for scenes involving multiple objects, where eachobject is replaced by a primitive model. The proposed method iscomposed of three stages. In the first stage, 3D data isreconstructed using stereo matching technique from a stereoimage taking multiple objects. Next, the 3D data is divided intoa single object by employing a Fuzzy c-Means augmented withPrincipal Component Analysis (PCA) and a criterion about thenumber of clusters. Finally, the shape of each object isextracted by Fuzzy c-Varieties with Noise Clustering.","subitem_description_type":"Abstract"}]},"item_23_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, CanadaJuly 16-21, 2006","subitem_description_type":"Other"}]},"item_23_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Conference Paper","subitem_description_type":"Other"}]},"item_23_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"affiliations":[{"affiliationNames":[{"affiliationName":"","lang":"ja"}],"nameIdentifiers":[]}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{"nameIdentifier":"639","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"00404096","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000000404096"},{"nameIdentifier":"35304795600","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=35304795600"},{"nameIdentifier":"90","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/90_ja.html"}],"names":[{"name":"Kawano, Hideaki","nameLang":"en"},{"name":"河野, 英昭","nameLang":"ja"},{"name":"カワノ, ヒデアキ","nameLang":"ja-Kana"}]},{"nameIdentifiers":[{"nameIdentifier":"640","nameIdentifierScheme":"WEKO"}],"names":[{"name":"前田, 博","nameLang":"ja"}]},{"nameIdentifiers":[{"nameIdentifier":"641","nameIdentifierScheme":"WEKO"}],"names":[{"name":"生駒, 哲一","nameLang":"ja"}]}]},"item_23_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/FUZZY.2006.1681774","subitem_relation_type_select":"DOI"}}]},"item_23_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE."}]},"item_23_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_23_text_37":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Faculty of Engineering, Kyushu Institute of Technology, Japan"}]},"item_23_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Kawano, Hideaki","creatorNameLang":"en"},{"creatorName":"河野, 英昭","creatorNameLang":"ja"},{"creatorName":"カワノ, ヒデアキ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]},{"creatorNames":[{"creatorName":"Sasaki, Atsumori","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Maeda, Hiroshi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ikoma, Norikazu","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2007-11-21"}],"displaytype":"detail","filename":"FUZZY.2006.1681774.pdf","filesize":[{"value":"409.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"FUZZY.2006.1681774.pdf","url":"https://kyutech.repo.nii.ac.jp/record/132/files/FUZZY.2006.1681774.pdf"},"version_id":"e0398f9c-de15-485f-9014-0f49d2af71cb"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"3D Shape Modeling Employing Fuzzy Clustering for Stereo Vision","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"3D Shape Modeling Employing Fuzzy Clustering for Stereo Vision","subitem_title_language":"en"}]},"item_type_id":"23","owner":"3","path":["20"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2007-11-21"},"publish_date":"2007-11-21","publish_status":"0","recid":"132","relation_version_is_last":true,"title":["3D Shape Modeling Employing Fuzzy Clustering for Stereo Vision"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-10-25T07:24:34.827986+00:00"}