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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Nicosia, N., Pacula, R.L., Kilmer, B., Lundberg, R., Chiesa, J.: The Economic Cost of Methamphetamine Use in the United States, 2005. RAND Corporation (2009)
Siebel, T.M., Mange, S.A.: The montana meth project: ’unselling’ a dangerous drug. Stanford Law and Policy Review 20, 405–416 (2009)
The meth project (2011), http://notevenonce.com
Faces of meth (2011), http://facesofmeth.us/main.htm
Viola, P.A., Jones, M.J.: Robust real-time face detection. In: International Conference on Computer Vision (ICCV), p. 747 (2001)
Viola, P.A., Jones, M.J.: Robust real-time face detection. International Journal of Computer Vision 57, 137–154 (2004)
Castrilln, M., Dniz, O., Hernndez, D., Lorenzo, J.: A comparison of face and facial feature detectors based on the violajones general object detection framework. Machine Vision and Applications 22, 481–494 (2011)
Castrillón-Santana, M., Déniz-Suárez, O., Lorenzo-Navarro, L.A.C., Lorenzo-Navarro, J.: Face and facial feature detection evaluation. In: International Conference on Computer Vision Theory and Applications (VISAPP), pp. 167–172 (2008)
Face recognition using opencv (2011), http://opencv.willowgarage.com/wiki/FaceDetection
Lienhart, R., Kuranov, A., Pisarevsky, V.: Empirical analysis of detection cascades of boosted classifiers for rapid object detection. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol. 2781, pp. 297–304. Springer, Heidelberg (2003)
Li, Y., Sun, J., Tang, C.K., Shum, H.Y.: Lazy snapping. ACM Trans. Graph. 23, 303–308 (2004)
Bediz, Y., Akar, G.B.: View point tracking for 3d display systems. In: European Signal Processing Conference, EUSIPCO (2005)
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8, 679–698 (1986)
Castrillón, M., Déniz, O., Guerra, C., Hernández, M.: Encara2: Real-time detection of multiple faces at different resolutions in video streams. Journal of Visual Communication and Image Representation 18, 130–140 (2007)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(4), 321–331 (1988)
Kamali Moghaddam, M., Safabakhsh, R.: Tasom-based lip tracking using the color and geometry of the face. In: International Conference on Machine Learning and Applications, ICMLA (2005)
Fang, H., Hart, J.C.: Detail preserving shape deformation in image editing. ACM Trans. Graph. 26 (2007)
Pérez, P., Gangnet, M., Blake, A.: Poisson image editing. ACM Trans. Graph. 22, 313–318 (2003)
Sun, J., Yuan, L., Jia, J., Shum, H.Y.: Image completion with structure propagation. ACM Trans. Graph. 24, 861–868 (2005)
Fang, H., Hart, J.C.: Textureshop: texture synthesis as a photograph editing tool. ACM Trans. Graph. 23, 354–359 (2004)
Fang, H., Hart, J.C.: Methods and systems for image modification. Patent US 7365744 (2008)
Kamali, M.: Tools for Scene Analysis and Transmission. PhD thesis, University of Illinois at Urbana-Champaign (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kamali, M., Iandola, F.N., Fang, H., Hart, J.C. (2011). MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24028-7_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-24028-7_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24027-0
Online ISBN: 978-3-642-24028-7
eBook Packages: Computer ScienceComputer Science (R0)