Data driven enhancement of facial attractiveness

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Abstract : When human raters are presented with a collection of shapes and asked to rank them according to their aesthetic appeal, the results often indicate that there is a statistical consensus among the raters. Yet it might be difficult to define a succinct set of rules that capture the aesthetic preferences of the raters. In this work, we explore a data-driven approach to aesthetic enhancement of such shapes.

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It's Metafilter's 20th anniversary! To celebrate, scan some cats or help fund Mefi! I guess I'm a little surprised that one can't submit one's own portrait for "beautification".

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Beauty is in the eye of the beholder. This maxim, emphasizing the subjectivity of the perception of beauty, has enjoyed a wide consensus since ancient times. In the digitalera, data-driven methods have been shown to be able to predict human-assigned beauty scores for facial images.

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The relationship between facial cues and perceptions of health and attractiveness in others plays an influential role in our social interactions and mating behaviors. Several facial cues have historically been investigated in this regard, with facial adiposity being the newest addition. Evidence is mounting that a robust link exists between facial adiposity and attractiveness, as well as perceived health.

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You've read 1 of 2 free monthly articles. Learn More. And a few months ago, after more than four decades of checking the mirror daily for zits, I noticed that my right ear lobe is shorter than my left.

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Full text available. Nowadays, face morphing is used in various fields of works such as computer animations, games and movies. Face morphing is an effect that shows a transition from one face image to another face image smoothly.

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Much research presented recently supports the idea that the human perception of attractiveness is data-driven and largely irrespective of the perceiver. This suggests using pattern analysis techniques for beauty analysis. Several scientific papers on this subject are appearing in image processing, computer vision and pattern analysis contexts, or use techniques of these areas. In this paper, we will survey the recent studies on automatic analysis of facial beauty, and discuss research lines and practical applications.

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Active Appearance Models are a extension of Active Shape Modeling, effectively taking a set of landmark points on a shape in this case a faceand averaging them out to the 'average shape' of the face. AAMs take it to the next level by taking this average face and warping the original landmarked face to the average shape. From here it takes the average of the textures of the face, producing eigenvectors.

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Post a Comment. A new beautification software that transforms a face to make it more attractive while maintaining its "individuality" and recognizability. Link to paper and supporting information. Below is a technical video explaining the method.

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