Ms. Irina Lebedeva Profile

Irina Lebedeva

at East China Univ of Science And Technology

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Proceedings Article | 30 June 2021 Paper

Deep facial features for personalized attractiveness prediction

Irina Lebedeva, Yi Guo, Fangli Ying

Proceedings Volume 11878, 118780A (2021) https://doi.org/10.1117/12.2599699

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In this work, we propose a novel personalized facial attractiveness prediction method that is able to effectively learn an individual’s preferences on few training images. A deep convolutional neural network (CNN) was first employed to estimate facial attributes. Then the attributes that play the most significant role for the individual were selected to train Random Forest. A new dataset specially created for personalized beauty evaluation was also proposed. Our method has achieved promising results of 54% Pearson’s Correlation on 15 training images, 61% on 35 images.

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