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11

ICIP
2008
IEEE

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Analysis of human attractiveness using manifold kernel regression

14 years 6 months ago

Analysis of human attractiveness using manifold kernel regression

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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

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Aggregate Shape Change | Associated Deformation Maps | Attractiveness Ratings | Facial Shape | ICIP 2008 | Image Processing | Kernel Regression Technique |

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Added	20 Oct 2009
Updated	20 Oct 2009
Type	Conference
Year	2008
Where	ICIP
Authors	Bradley C. Davis, Svetlana Lazebnik

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