{"created":"2023-05-15T14:21:31.976316+00:00","id":3218,"links":{},"metadata":{"_buckets":{"deposit":"56e788d0-cee1-44e6-9c03-e792ef4468ed"},"_deposit":{"created_by":3,"id":"3218","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"3218"},"status":"published"},"_oai":{"id":"oai:bunkyo.repo.nii.ac.jp:00003218","sets":["1:26:226"]},"author_link":["4167"],"item_5_biblio_info_13":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1999-01-01"},"bibliographicPageEnd":"150","bibliographicPageStart":"65","bibliographicVolumeNumber":"22","bibliographic_titles":[{"bibliographic_title":"情報研究"},{"bibliographic_title":"Information and Communication Studies"}]}]},"item_5_date_43":{"attribute_name":"作成日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2011-02-22"}]},"item_5_description_12":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"　パターン認識の数学的理論(SS理論)では、入力パターンφに対応するパターンモデルTφを求め、Tφから不動点パターンモデルTωjを連想する形で、φの帰属するカテゴリを決定する多段階パターン変換法が考えられている(不動点連想形認識)。本論文では、このようなSS理論での\"axiom 1を満たすモデル構成作用素\"Tとして、2種類の[T?,T?が導入されている。2次元画像としての顔パターンφ∈Φの2値化方法として、axiom 1を満たす対[Φ,T?]に注目し、顔画像の2値化モデルT?φを求め、今1つの対[Φ,T?]からは、T?φがφの目、鼻、ロ(顔成分)を抽出可能なことを言語Cで書かれたプログラムの実行で確かめたものである。\n　T?,T?の構造成分は5人の女性の平均顔画像を用いて非適応的に決定されたが、結果は大旨、良好である。然しながら、T?,T?の構造各成分を適応的に決定する必要性などが痛感させられ、引き続いて研究しなければならないことになった。\n\\n　A muti-stage trnsformation of patterns has been presented in a mathematical theory (SS theory) of recognizing patterns suggested by S.Suzuki,which gets a corresponding pattern-model Tφ of an input pattern φ in question to be recognized, solves a fixed-point equation of associative recognition about Tφ, and determines a category to which φ belongs so that a recognition system RECOGNITRON may recall a fixed-point pattern of a structural fertilization transformation. Two kinds T? and T? of model-construction operators which satisfy axiom 1 of SS theory are presented here. We select a set Φ of patterns which contains 31 facial images of two dimensional. Two operators T? and T? are designed in order to obtain a binary pattern and to extract eyes, a nose and a mouth of φ respectively. We seek for T? φ and T? φ of φ∈Φ by a computer program written with language C.\n　Constituent elements of T? and T? are nonadaptively determined by a use of mean facial image of 5 women.Generally T? and T? proved to serve the purpose. However in order to obtain the better performance it is necessary to adaptively determine constituent elements of T and so forth. We must study such a model-construction operator T in succession.","subitem_description_type":"Abstract"}]},"item_5_description_38":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_5_source_id_19":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"03893367"}]},"item_5_text_39":{"attribute_name":"本文言語","attribute_value_mlt":[{"subitem_text_value":"日本語"}]},"item_5_text_42":{"attribute_name":"ID","attribute_value_mlt":[{"subitem_text_value":"BKSJ220006"}]},"item_5_text_7":{"attribute_name":"Author","attribute_value_mlt":[{"subitem_text_value":"Suzuki, Shoichi"}]},"item_5_text_8":{"attribute_name":"所属機関","attribute_value_mlt":[{"subitem_text_value":"文教大学情報学部"}]},"item_5_text_9":{"attribute_name":"Institution","attribute_value_mlt":[{"subitem_text_value":"Bunkyo University Faculty of Information and Communications"}]},"item_5_version_type_35":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 昇一"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-03-24"}],"displaytype":"detail","filename":"BKSJ220006.pdf","filesize":[{"value":"13.3 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"BKSJ220006.pdf","url":"https://bunkyo.repo.nii.ac.jp/record/3218/files/BKSJ220006.pdf"},"version_id":"495a278b-9cce-4672-9bf9-2c941835fd32"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"パターン認識の数学的理論"},{"subitem_subject":"モデル構成作用素"},{"subitem_subject":"平均顔画像"},{"subitem_subject":"2値化画像"},{"subitem_subject":"顔成分"},{"subitem_subject":"不動点連想形認識"},{"subitem_subject":"a mathematical theory of recognizing patterns"},{"subitem_subject":"model-construction operator"},{"subitem_subject":"mean facial image"},{"subitem_subject":"binarized image"},{"subitem_subject":"components of facial image"},{"subitem_subject":"associative recognition of fixed-point type"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"平均顔を用いた顔画像の2値化、並びに、目・鼻・口の抽出と、その計算機シミュレーション","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"平均顔を用いた顔画像の2値化、並びに、目・鼻・口の抽出と、その計算機シミュレーション"},{"subitem_title":"A Binarization of Face Image Using the Average Face and a Extraction of Eyes, Noses, and Mouths, and Its Computer Simulation"}]},"item_type_id":"5","owner":"3","path":["226"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-02-22"},"publish_date":"2011-02-22","publish_status":"0","recid":"3218","relation_version_is_last":true,"title":["平均顔を用いた顔画像の2値化、並びに、目・鼻・口の抽出と、その計算機シミュレーション"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-05-16T16:46:20.922584+00:00"}