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Garment Personalization via Identity Transfer
July-Aug. 2013 (vol. 33 no. 4)
pp. 62-72
Daniel Cohen-Or, Tel Aviv University
Ariel Shamir, Interdisciplinary Center, Herzliya
Ligang Liu, University of Science and Technology of China
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,photo processing,Face,Image segmentation,Hair,Shape,Solid modeling,Image color analysis,computer graphics,online cloning,image enhancement
Citation:
Roy Shilkrot, Daniel Cohen-Or, Ariel Shamir, Ligang Liu, "Garment Personalization via Identity Transfer," IEEE Computer Graphics and Applications, vol. 33, no. 4, pp. 62-72, July-Aug. 2013, doi:10.1109/MCG.2012.90
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