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Reconstruction of facial images by using facial motion and image processing techniques

机译:使用面部运动和图像处理技术重建面部图像

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Abstract. The facial expressions of an human being can be explained by the motion of the facial features. If we are able to definenthese expressions by some motion vectors it will be possible to reconstruct the original face image from the face image withnexpression. In this context, the studies of this paper are focussed around the motion vector estimation and image reconstruction.nFor the motion vector estimation two well-known block matching techniques, namely Full Search Algorithm and Three StepnSearch Algorithm, have been used and the results have been compared via PSNRs (Peak-to-Peak Signal-to-Noise Ratio) andntime consumptions.
机译:抽象。人的面部表情可以通过面部特征的运动来解释。如果我们能够通过某些运动矢量来定义这些表达式,则有可能从面部图像中通过重构来重建原始面部图像。在这种情况下,本文的研究集中在运动矢量估计和图像重建上。n对于运动矢量估计,使用了两种众所周知的块匹配技术,即全搜索算法和三步搜索算法,其结果已经得到通过PSNR(峰峰值信噪比)和n时间消耗进行比较。

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