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Data-Driven Enhancement of Facial Attractiveness

Data-Driven Enhancement of Facial Attractiveness. Tommer Leyvand , Daniel Cohen-Or, Gideon Dror and Dani Lischinski. ACM SIGGRAPH 2008 (. Presenter: Ramin Mehran. Overview. Finding Features. Detect initial scale and orientation of the face using OpenCV Haar calssifier cascade

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Data-Driven Enhancement of Facial Attractiveness

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  1. Data-Driven Enhancement of Facial Attractiveness TommerLeyvand, Daniel Cohen-Or, Gideon Dror and DaniLischinski ACM SIGGRAPH 2008 ( Presenter: RaminMehran

  2. Overview

  3. Finding Features • Detect initial scale and orientation of the face using OpenCVHaarcalssifier cascade • Fit the points using Active Shape Model (ASM) • Triangulation: distant vector v

  4. Distance Vector v1 v2 v3 . . . v234 v = Normalized to the square root of the face

  5. Beauty Function • Beauty is not in the eye of beholder • Data-Driven beauty estimation • Support Vector Regression

  6. KNN Beautification 4.3 4.5 5.1 3.1 4.6 5.3 v' v

  7. K parameter in KNN method

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