顔の非剛体変形に頑健な複数フレーム超解像の検討

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  • 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)
  • カオ ノ ヒゴウタイ ヘンケイ ニ ガンケン ナ フクスウフレーム チョウカイゾウ ノ ケントウ
  • A study of robust multi-frame super resolution for non-rigid deformation of face

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Abstract

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.

IEICE Technical Report;PRMU2011-80, IBISML2011-39

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