MethMorph: simulating facial deformation due to methamphatamine usage

Authors:
Mahsa Kamali;Forrest N. Iandola;Hui Fang;John C. Hart
Affiliations:
University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign
Venue:
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Year:
2011

Citing 10
Cited 0

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Poisson image editing

ACM SIGGRAPH 2003 Papers
Robust Real-Time Face Detection

International Journal of Computer Vision
Lazy snapping

ACM SIGGRAPH 2004 Papers
Textureshop: texture synthesis as a photograph editing tool

ACM SIGGRAPH 2004 Papers
Image completion with structure propagation

ACM SIGGRAPH 2005 Papers
TASOM-based Lip Tracking Using the Color and Geometry of the Face

ICMLA '05 Proceedings of the Fourth International Conference on Machine Learning and Applications
ENCARA2: Real-time detection of multiple faces at different resolutions in video streams

Journal of Visual Communication and Image Representation
Detail preserving shape deformation in image editing

ACM SIGGRAPH 2007 papers
A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework

Machine Vision and Applications

Quantified Score

Hi-index	0.00

Visualization

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.