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Analysing Facial Features Using CNNs and Computer Vision

  • Diana BorzaEmail author
  • Razvan Itu
  • Radu Danescu
  • Ioana Barbantan
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1126)

Abstract

This paper presents an automatic facial analysis system which is able to perform gender detection, hair segmentation and geometry detection, color attributes extraction (hair, skin, eyebrows, eyes and lips), accessories (eyeglasses) analysis from facial images. For the more complex tasks (gender detection, hair segmentation, eyeglasses detection) we used state of the art convolutional neural networks, and for the other tasks we used classical image processing algorithms based on geometry and appearance models. When data was available, the proposed system was evaluated on public datasets. An acceptance study was also performed to assess the performance on the system in real life scenarios.

Keywords

Facial attributes analysis Gender detection Hair segmentation Convolutional neural networks Color analysis 

Notes

Acknowledgements

This work was made possible with the support of the “Institute of Research, Development and Education in Computer Vision” (Asociația Institutul de Cercetare, Dezvoltare și Educație în Viziune Artificială, http://icvcluj.eu/), Cluj-Napoca, Romania, and Tapptitude (https://tapptitude.com/), a product development agency, where the first iteration of the algorithm was built.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Diana Borza
    • 1
    Email author
  • Razvan Itu
    • 1
  • Radu Danescu
    • 1
  • Ioana Barbantan
    • 2
  1. 1.Technical University of Cluj-NapocaCluj-NapocaRomania
  2. 2.TapptitudeCluj-NapocaRomania

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