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UCSD Computer Vision

Facial Attractiveness and Relative Ranking

Hani Altwaijry, Serge Belongie, Chong Cao, David Kriegman, Iljung Sam Kwak


Automatic evaluation of human facial attractiveness is a challenging problem that has received little attention from the computer vision community. Here, we approach beauty from a relative ranking perspective. Our training data are faces sorted based on a individuals's personal preference, which we use to learn how to rank novel faces according to that person's taste.

Related Publications

Cao C., Kwak S., Belongie S., Kriegman D., Ai H., "Adaptive Ranking of Facial Attractiveness", IEEE International Conference on Multimedia & Expo (ICME), Chengdu, July, 2014. [BibTex]
Altwaijry H., Belongie S., "Relative Ranking of Facial Attractiveness", Workshop on the Applications of Computer Vision (WACV), Clearwater Beach, Florida, January, 2013. [BibTex][pdf]