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Facial beauty analysis based on features prediction and beautification models

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Abstract

This paper studies facial beauty analysis by using feature-based computer models in prediction and beautification. In order to assess the facial beauty index, a facial beauty prediction model is established, which can quickly and effectively estimate beauty indexes for new images. In the facial beautification model, we mainly achieve three functions: (1) propose an effective method to adjust the positions of the landmark points to beautify the facial geometry; (2) improve the multi-level median filtering method to perform facial skin beautification; and (3) design a method to achieve average facial beautification. Experimental results showed that the proposed models can significantly analyze the facial attractiveness of face images.

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Acknowledgements

This work is supported by the Science and Technology Development Fund (FDCT) of Macao SAR (128/2013/A and 124/2014/A3).

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Authors and Affiliations

  1. Department of Computer and Information Science, University of Macau, Taipa, Macau, China

    Bob Zhang

  2. Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China

    Xihua Xiao & Guangming Lu

Authors
  1. Bob Zhang
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  2. Xihua Xiao
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  3. Guangming Lu
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Correspondence to Bob Zhang.

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Zhang, B., Xiao, X. & Lu, G. Facial beauty analysis based on features prediction and beautification models. Pattern Anal Applic 21, 529–542 (2018). https://doi.org/10.1007/s10044-017-0647-2

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