MethMorph: Simulating facial deformation due to methamphatamine usage

Mahsa Kamali, Forrest N. Iandola, Hui Fang, John C Hart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 7th International Symposium, ISVC 2011, Proceedings
Pages102-111
Number of pages10
EditionPART 1
DOIs
StatePublished - Oct 5 2011
Event7th International Symposium on Visual Computing, ISVC 2011 - Las Vegas, NV, United States
Duration: Sep 26 2011Sep 28 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6938 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Symposium on Visual Computing, ISVC 2011
CountryUnited States
CityLas Vegas, NV
Period9/26/119/28/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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