Analysis of human attractiveness using manifold kernel regression

This paper uses a recently introduced manifold kernel regression technique to explore the relationship between facial shape and attractiveness on a heterogeneous dataset of over three thousand images gathered from the Web. Using the concept of the Fr?echet mean of images under a diffeomorphic transformation model, we evolve the average face as a function of attractiveness ratings. Examining these averages and associated deformation maps enables us to discern aggregate shape change trends for male and female faces.

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: Bradley C. Davis, Svetlana Lazebnik
• Keywords: Aggregate Shape Change, Associated Deformation Maps, Attractiveness Ratings, Facial Shape, ICIP 2008, Image Processing, Kernel Regression Technique