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Floor-Ladder Framework for Human Face Beautification

  • Yulia NovskayaEmail author
  • Sun Ruoqi
  • Hengliang Zhu
  • Lizhuang Ma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10716)

Abstract

In this paper, we propose a Floor-Ladder Framework (FLN) based on age evolution rules to generate beautified human faces. Beside the shape of faces, younger faces achieve more attractiveness. Thus we process the beautiful face by applying the reversed aging rules. Inspired by the layered optimization methods, the FLN adopts three floors and each floor contains two ladders: the Single Layer Older Neural Network (SLONN) and the extended Skull Model. The Peak Shift algorithm is designed to train the SLONN aiming to capture the reversed aging rules of the face skin. Due to the growth rules of the face shape, we extended the Skull Model by adding Marquardt Mask. Given the input portrait, our algorithm effectively produces a beautified human face without losing personal features.

Keywords

Face beautification Floor-Ladder Framework The Peak Shift Algorithm The Single Layer Older Neural Network The extended Skull Model 

Notes

Aknowledgments

This work is supported by the National Natural Science Foundation of China (No.61472245), and the Science and Technology Commission of Shanghai Municipality Program (No.16511101300).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Yulia Novskaya
    • 1
    Email author
  • Sun Ruoqi
    • 1
  • Hengliang Zhu
    • 1
  • Lizhuang Ma
    • 1
  1. 1.School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina

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