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Detection of Fake Facial Images and Changes in Real Facial Images

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Computational Collective Intelligence (ICCCI 2024)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14811))

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Abstract

Computer Vision techniques are widely used in the entertainment industry, helping to create more realistic effects in games and movies. They can recognise objects, characters, and player movements in video games. This allows games to react to player behaviours more intelligently, providing more dynamic and engaging experiences. Additionally, applying deep learning techniques combined with Computer Vision supports generating automatic special effects, such as adding interactive effects to live broadcasts. Unfortunately, such methods can generate, modify, and falsify information, such as swapping faces in a photo or video recording. Social media has many counterfeits and modifications of content known as fake news. The article proposes a method for detecting modified, real facial images and artificially generated facial images based on convolutional neural networks. Our technique allows for classifying facial photos into one of three classes: real faces, real faces with applied modifications (using photo editing software), and artificially generated facial images.

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Acknowledgements

This work is funded by project BS-PB-1-100-3016/2023/P Polish Ministry of Science.

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Authors and Affiliations

  1. Department of Computer Sciences, Czestochowa University of Technology, 42-201, Czestochowa, Poland

    Janusz Bobulski & Mariusz Kubanek

Authors
  1. Janusz Bobulski
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  2. Mariusz Kubanek
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Corresponding author

Correspondence to Janusz Bobulski .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. University of Leipzig, Leipzig, Germany

    Bogdan Franczyk

  3. University of Leipzig, Leipzig, Sachsen, Germany

    André Ludwig

  4. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  5. Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Jan Treur

  6. University of Münster, Münster, Germany

    Gottfried Vossen

  7. Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

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Bobulski, J., Kubanek, M. (2024). Detection of Fake Facial Images and Changes in Real Facial Images. In: Nguyen, N.T., et al. Computational Collective Intelligence. ICCCI 2024. Lecture Notes in Computer Science(), vol 14811. Springer, Cham. https://doi.org/10.1007/978-3-031-70819-0_9

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  • DOI: https://doi.org/10.1007/978-3-031-70819-0_9

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