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Facial Shape and Expression Transfer via Non-rigid Image Deformation

  • Huabing Zhou
  • Shiqiang Ren
  • Yong Zhou
  • Yuyu Kuang
  • Yanduo Zhang
  • Wei Zhang
  • Tao Lu
  • Hanwen Chen
  • Deng Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11336)

Abstract

In this paper, we present a novel approach for transferring shape and expression of a face in image to that of another, regardless of variance between the two faces in illumination, color, texture, resolution and even some mild occlusion. We first use a face alignment algorithm to locate accurate facial landmark points for both original face and target face, then align them with a global similarity transformation to eliminate their inconsistency in pose, size and position. Finally, we use our non-rigid image deformation method to deform the original face by fitting a map function for each of its pixel point according to the two sets of facial landmark points. Our method can be full-automatic or semi-automatic for conveniently tuning a better result by combining a face alignment algorithm and a non-rigid image deformation method. Experiment results show that our method can produce realistic, natural and artifact-less facial shape and expression transfer. We also discuss the limitation and potential of our proposed method.

Keywords

Non-rigid image deformation Face editing Expression transfer 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Huabing Zhou
    • 1
  • Shiqiang Ren
    • 1
  • Yong Zhou
    • 2
  • Yuyu Kuang
    • 1
  • Yanduo Zhang
    • 1
  • Wei Zhang
    • 1
  • Tao Lu
    • 1
  • Hanwen Chen
    • 1
  • Deng Chen
    • 1
  1. 1.Hubei Key Laboratory of Intelligent RobotWuhan Institute of TechnologyWuhanChina
  2. 2.Yangtze University College of Technology and EngineeringJingzhouChina

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