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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

顔の非剛体変形に頑健な複数フレーム超解像の検討(一般セッション,コンピュータビジョンとパターン認識のための機械学習)

http://hdl.handle.net/2237/23858
b3effac5-8c70-47a7-8c41-531870548f89
名前 / ファイル ライセンス アクション
110008900662.pdf 110008900662.pdf (2.0 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2016-03-16
タイトル
タイトル 顔の非剛体変形に頑健な複数フレーム超解像の検討(一般セッション,コンピュータビジョンとパターン認識のための機械学習)
その他のタイトル
その他のタイトル A study of robust multi-frame super resolution for non-rigid deformation of face
著者 吉田, 智成

× 吉田, 智成

WEKO 64417

吉田, 智成

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高橋, 友和

× 高橋, 友和

WEKO 64418

高橋, 友和

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出口, 大輔

× 出口, 大輔

WEKO 64419

出口, 大輔

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井出, 一郎

× 井出, 一郎

WEKO 64420

井出, 一郎

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村瀬, 洋

× 村瀬, 洋

WEKO 64421

村瀬, 洋

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YOSHIDA, Tomonari

× YOSHIDA, Tomonari

WEKO 64422

YOSHIDA, Tomonari

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TAKAHASHI, Tomokazu

× TAKAHASHI, Tomokazu

WEKO 64423

TAKAHASHI, Tomokazu

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DEGUCHI, Daisuke

× DEGUCHI, Daisuke

WEKO 64424

DEGUCHI, Daisuke

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IDE, Ichiro

× IDE, Ichiro

WEKO 64425

IDE, Ichiro

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MURASE, Hiroshi

× MURASE, Hiroshi

WEKO 64426

MURASE, Hiroshi

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権利
権利情報 (c)一般社団法人電子情報通信学会 本文データは学協会の許諾に基づきCiNiiから複製したものである
キーワード
主題Scheme Other
主題 複数フレーム超解像
キーワード
主題Scheme Other
主題 非剛体変形
キーワード
主題Scheme Other
主題 顔画像認識
キーワード
主題Scheme Other
主題 multi-frame super-resolution
キーワード
主題Scheme Other
主題 free-form deformations
キーワード
主題Scheme Other
主題 face recognition
抄録
内容記述 監視カメラ映像からの顔画像認識において,顔領域が低解像度であることは認識精度の低下を招く.この問題に対して,動画像を用いた超解像技術を利用することで認識精度が向上できると考えられる.しかし,従来の超解像は,平面物体を撮影した動画像を対象としている場合が多く,顔画像のように向きや表情の変化によって2次元的に非剛体変形する動画像を扱うことが困難である.そこで本報告では,局所領域毎に位置合わせをすることで,顔向きや表情の変化に頑健な超解像を行う手法を提案する.具体的には,フレーム間の位置合わせに非剛体レジストレーションを用いることで顔画像の非剛体変形に柔軟に対応する.実際に撮影した動画像を用いた実験の結果,超解像の性能向上が見られ,提案手法の有効性が確認できた.In a face recognition system with surveillance video cameras, the decrease in resolution of face images degrades the recognition accuracy. To overcome this problem, multi-frame super-resolution techniques could be used to improve the accuracy. However, most super-resolution techniques assume that a planar object is captured in input images. Therefore, it is difficult to apply them to face images that include non-rigid deformations caused by changes of face poses and expressions. In this report, we propose a multi-frame super-resolution method that can deal with changes of face poses and expressions. To achieve this, alignment of each local region between video frames is performed by using a free-form deformation method. Thus, the proposed method can easily deal with the non-rigid deformation of face images. Experimental results demonstrate that the proposed method improved the performance of super resolution for actual videos. From this, we confirmed the effectiveness of the proposed method.
内容記述タイプ Abstract
出版者
出版者 一般社団法人電子情報通信学会
言語
言語 jpn
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
ISSN
収録物識別子タイプ ISSN
収録物識別子 0913-5685
書誌情報 電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解

巻 111, 号 193, p. 181-186, 発行日 2011-08-29
著者版フラグ
値 publisher
シリーズ
関連名称
関連名称 IEICE Technical Report;PRMU2011-80, IBISML2011-39
URI
識別子 http://ci.nii.ac.jp/naid/110008900662/
識別子タイプ URI
URI
識別子 http://hdl.handle.net/2237/23858
識別子タイプ HDL
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