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MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage

  • Mahsa Kamali
  • Forrest N. Iandola
  • Hui Fang
  • John C. Hart
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6938)

Abstract

We present MethMorph, a system for producing realistic simulations of how drug-free people would look if they used methamphetamine. Significant weight loss and facial lesions are common side effects of meth usage. MethMorph fully automates the process of thinning the face and applying lesions to healthy faces. We combine several recently-developed detection methods such as Viola-Jones based cascades and Lazy Snapping to localize facial features in healthy faces. We use the detected facial features in our method for thinning the face. We then synthesize a new facial texture, which contains lesions and major wrinkles. We apply this texture to the thinned face. We test MethMorph using a database of healthy faces, and we conclude that MethMorph produces realistic meth simulation images.

Keywords

Facial Feature Face Detection Facial Region Meth Usage Image Completion 
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 2011

Authors and Affiliations

  • Mahsa Kamali
    • 1
  • Forrest N. Iandola
    • 1
  • Hui Fang
    • 1
  • John C. Hart
    • 1
  1. 1.University of IllinoisUrbana-ChampaignUSA

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