WEKO3
インデックスリンク
アイテム
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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
https://bunkyo.repo.nii.ac.jp/records/3218
https://bunkyo.repo.nii.ac.jp/records/32189ecbbce0-65e6-4704-b780-f0ba90ccece9
名前 / ファイル | ライセンス | アクション |
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BKSJ220006.pdf (13.3 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2011-02-22 | |||||
タイトル | ||||||
タイトル | 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 | |||||
タイトル | ||||||
タイトル | A Binarization of Face Image Using the Average Face and a Extraction of Eyes, Noses, and Mouths, and Its Computer Simulation | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題 | パターン認識の数学的理論 | |||||
キーワード | ||||||
主題 | モデル構成作用素 | |||||
キーワード | ||||||
主題 | 平均顔画像 | |||||
キーワード | ||||||
主題 | 2値化画像 | |||||
キーワード | ||||||
主題 | 顔成分 | |||||
キーワード | ||||||
主題 | 不動点連想形認識 | |||||
キーワード | ||||||
主題 | a mathematical theory of recognizing patterns | |||||
キーワード | ||||||
主題 | model-construction operator | |||||
キーワード | ||||||
主題 | mean facial image | |||||
キーワード | ||||||
主題 | binarized image | |||||
キーワード | ||||||
主題 | components of facial image | |||||
キーワード | ||||||
主題 | associative recognition of fixed-point type | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
鈴木, 昇一
× 鈴木, 昇一 |
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著者 | ||||||
Suzuki, Shoichi | ||||||
所属機関 | ||||||
文教大学情報学部 | ||||||
所属機関 | ||||||
Bunkyo University Faculty of Information and Communications | ||||||
内容記述 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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。 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 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. 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. |
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書誌情報 |
情報研究 en : Information and Communication Studies 巻 22, p. 65-150, 発行日 1999-01-01 |
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ISSN | ||||||
収録物識別子 | 03893367 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
本文言語 | ||||||
日本語 | ||||||
ID | ||||||
BKSJ220006 | ||||||
作成日 | ||||||
日付 | 2011-02-22 |