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Self Organizing Maps for 3D Face Understanding

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9693))

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Abstract

Landmarks are unique points that can be located on every face. Facial landmarks typically recognized by people are correlated with anthropomorphic points. Our purpose is to employ in 3D face recognition such landmarks that are easy to interpret. Face understanding is construed as identification of face characteristic points with automatic labeling of them. In this paper, we apply methods based on Self Organizing Maps to understand 3D faces.

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland

    Janusz T. Starczewski & Natalia Vladymyrska

  2. Radom Academy of Economics, Radom, Poland

    Sebastian Pabiasz

  3. Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg, Luxembourg

    Antonino Marvuglia

  4. Department of Mathematics and Informatics, University of Catania, Catania, Italy

    Christian Napoli

  5. Institute of Mathematics, Silesian University of Technology, Gliwice, Poland

    Marcin Woźniak

Authors
  1. Janusz T. Starczewski
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  2. Sebastian Pabiasz
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  3. Natalia Vladymyrska
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  4. Antonino Marvuglia
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  5. Christian Napoli
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  6. Marcin Woźniak
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Corresponding author

Correspondence to Janusz T. Starczewski .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Starczewski, J.T., Pabiasz, S., Vladymyrska, N., Marvuglia, A., Napoli, C., Woźniak, M. (2016). Self Organizing Maps for 3D Face Understanding. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-39384-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39383-4

  • Online ISBN: 978-3-319-39384-1

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