Image Based Active Model Adaptation Method for Face Reconstruction and Sketch Generation

  • Yuehu Liu
  • Yunfeng Zhu
  • Yuanqi Su
  • Zejian Yuan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3942)


A uniform active model adaptation is proposed for some specific applications related with realistic face reconstruction and sketch generation, which is separated into tow phases: global adaptation and local adaptation. During the global adaptation, a coarse matching is used for adjusting the facial contour and five sense organs according to the correspondence of feature points both in 2D facial image and 3D model. An interpolation is processed on the global adjusted 3D model for a fine matching, which forms the local adaptation. A personalized facial sketch generation method is present based on the similar idea of 3D facial model adaptation. By comparison between the feature points of specific person’s face and those of a predefined generic face, metamorphosis can be drawn for generating a personalized cartoon facial sketch. Two systems are built, and face reconstruction and sketch results show that proposed method is efficient and desirable.


Feature Point Facial Image Facial Model Texture Mapping Global Adaptation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yuehu Liu
    • 1
  • Yunfeng Zhu
    • 1
  • Yuanqi Su
    • 1
  • Zejian Yuan
    • 1
  1. 1.Institute of Artificial Intelligence and RoboticsXi’an Jiaotong UniversityXi’anP.R. China

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