{"created":"2025-01-18T23:08:18.505220+00:00","updated":"2025-01-22T11:56:52.066599+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00041435","sets":["1164:3616:3652:3653"]},"path":["3653"],"owner":"1","recid":"41435","title":["Wavelet変換を用いた顔距離画像の特徴解析に関する研究-顔距離画像のWavelet係数による個人性の抽出-"],"pubdate":{"attribute_name":"公開日","attribute_value":"2001-12-13"},"_buckets":{"deposit":"fad43552-665b-40fa-a874-e1e297bae997"},"_deposit":{"id":"41435","pid":{"type":"depid","value":"41435","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"Wavelet変換を用いた顔距離画像の特徴解析に関する研究-顔距離画像のWavelet係数による個人性の抽出-","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Wavelet変換を用いた顔距離画像の特徴解析に関する研究-顔距離画像のWavelet係数による個人性の抽出-"},{"subitem_title":"3-D Facial Image Analysis by Wavelet Transform Extraction of Facial Individuality by Wavelet Coefficient of 3-D Facial Image","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2001-12-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北陸先端科学技術大学院大学情報科学研究科"},{"subitem_text_value":"北陸先端科学技術大学院大学情報科学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science, Japan Advanced Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science, Japan Advanced Institute of Science and Technology","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/41435/files/IPSJ-AVM01035018.pdf"},"date":[{"dateType":"Available","dateValue":"2003-12-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM01035018.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":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"d53b9a13-4ad5-4319-a2b1-5c26c57dc7c2","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":"金森, 証"},{"creatorName":"小谷, 一孔"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Akira, Kanamori","creatorNameLang":"en"},{"creatorName":"Kazunori, Kotani","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438399","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":"顔は，３次元的な構造を持っている。レーザレンジファインダなどで得られる顔の３次元情報（ここでは顔距離画像と呼ぶ）を用いることにより顔画像の解析ができれば，従来の解析方法と合わせて，より高精度で広範囲な顔画像解析が期待できる。本研究では，顔の距離情報を用い，Wavelet変換により多重解像度解析を行って，顔画像の個人性を抽出することを試みる。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Face has three-dimensional structure. If we are able to facial Analysis using 3-D information by Laser Range Finder(LRF), expect to high-precision and pervasive facial image analysis based on conventional technology. In this paper, we make 3-D information Multi-Resolution Analysis(MRA) by Wavelet trasform, and try to extraction of facial Individuality by Wavelet coefficient of 3-D facial image.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"106","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告オーディオビジュアル複合情報処理（AVM）"}],"bibliographicPageStart":"101","bibliographicIssueDates":{"bibliographicIssueDate":"2001-12-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"121(2001-AVM-035)","bibliographicVolumeNumber":"2001"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":41435,"links":{}}