Facial attractiveness prediction using psychologically inspired convolutional neural network (PI-CNN)

@article{Xu2017FacialAP,
  title={Facial attractiveness prediction using psychologically inspired convolutional neural network (PI-CNN)},
  author={Jie Xu and Lianwen Jin and Lingyu Liang and Ziyong Feng and Duorui Xie and Huiyun Mao},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2017},
  pages={1657-1661}
}
This paper proposes a psychologically inspired convolutional neural network (PI-CNN) to achieve automatic facial beauty prediction. Different from the previous methods, the PI-CNN is a hierarchical model that facilitates both the facial beauty representation learning and predictor training. Inspired by the recent psychological studies, significant appearance features of facial detail, lighting and color were used to optimize the PI-CNN facial beauty predictor using a new cascaded fine-tuning… CONTINUE READING
4 Citations
26 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 26 references

Deep learning

  • Y. LeCun, Y. Bengio, G. Hinton
  • Nature, vol. 251, pp. 436-444, 2015.
  • 2015
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…