Digital Face Beautification: Unterschied zwischen den Versionen
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Inhaltsverzeichnis
Reference
Leyvand, Tommer; Cohen-Or, Daniel; Dror, Gideon; Lischinski, Dani: Digital Face Beautification. In: Computational Aesthetics 2006.
DOI
Abstract
We present a novel method for digital face beautification: given a frontal photograph of a face (a portrait), our method automatically increases the predicted attractiveness rating of the face.
The main challenge is to achieve this goal while introducing only minute, subtle modifications to the original image, such that the resulting "beautified" face main- tains a strong, unmistakable similarity to the original. The effectiveness of the proposed method was experimentally validated by a group of test subjects who consistently rated the modified faces as more attractive than the original ones.
Keywords: Facial attractiveness, image warping, machine learning
Extended Abstract
Bibtex
Used References
E ISENTHAL , Y., D ROR , G., AND RUPPIN , E. 2006. Facial attractiveness: Beauty and the machine. Neural Computation 18, 1, 119–142.
J ONES , D. 1996. Physical Attractiveness and the Theory of Sexual Selection: Results from Five Populations. University of Michigan Press, Ann Arbor, Michigan.
P ERRETT, D. I., M AY, K. A., AND YOSHIKAWA , S. 1994. Facial shape and judge- ments of female attractiveness. Nature 368, 239–242.
Links
Full Text
http://leyvand.com/research/beautification/dfb_sketch.pdf
Sonstige Links
http://leyvand.com/research/beautification/
http://leyvand.com/research/beautification2008/
http://leyvand.com/research/beautification2008/attractiveness2008.pdf
