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Analysis of human attractiveness using manifold kernel regression

9 years 4 months ago
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.
Bradley C. Davis, Svetlana Lazebnik
Added 20 Oct 2009
Updated 20 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Bradley C. Davis, Svetlana Lazebnik
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