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ABSTRACT
A new system provides a virtual experience akin to trying on clothing. It clones the user's photographic image into a catalog of images of models wearing the desired garments. Simple offline training extracts the user's head. Segmentation accurately separates the face, hair, and background, employing both a three-kernel statistical model and graph cuts. The system adjusts the resulting image's skin color according to a statistical model and relights the head via spherical harmonics. Finally, using a parametric model, the system warps the clone's body dimensions to fit the user's dimensions. This creates high-quality compositions of the user's image and the given garment.
INDEX TERMS
Face recognition, Image segmentation, Photography, Shape analysis, Solid modeling, Image color analysis
CITATION

R. Shilkrot, D. Cohen-Or, A. Shamir and Ligang Liu, "Garment Personalization via Identity Transfer," in IEEE Computer Graphics and Applications, vol. 33, no. 4, pp. 62-72, 2013.
doi:10.1109/MCG.2012.90
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