Computer Science
 

Pattern Recognition

Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios
Kendra Schmid, David Marx and Ashok Samal

 


Pattern Recognition article receives media attention

The emerging view of scientists is that the appreciation of beauty has a deep-seated biological explanation. In a study published in Pattern Recognition American scientists have devised a computer programme to predict whether a face will be considered attractive.

The programme uses factors such as the golden ratio, a proportion that has been used by artists and architects since antiquity because it is aesthetically pleasing.

The article "Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios" by Kendra Schmid, David Marx and Ashok Samal has received attention in the media and the Telegraph, Health 24 and Math in the News have all shown interest in the study.

Links to the media articles can be found below:

Telegraph "Computers try to predict pretty faces"

Health 24 "Beauty formula unveiled at last"

Math in the News "Computers can use geometry to predict pretty faces"

The full text of the article can be viewed on ScienceDirect. If your institute doesn't have a subscription to ScienceDirect a PDF of the article has been made available.

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Editors-in-Chief
Robert S. Ledley Bethesda, USA
C.Y. Suen
Concordia University, Montreal, Canada


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