Abstract
This paper presents a new recognition method for three-dimensional geometry of the human face. The method measures biometric distances between features in 3D. It relies on the common self-organizing map method with fixed topological distances. It is robust to missing parts of the face due to the introduction of an original fuzzy certainty mask.
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Starczewski, J.T., Nieszporek, K., Wróbel, M., Grzanek, K. (2018). A Fuzzy SOM for Understanding Incomplete 3D Faces. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2018. Lecture Notes in Computer Science(), vol 10842. Springer, Cham. https://doi.org/10.1007/978-3-319-91262-2_7
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DOI: https://doi.org/10.1007/978-3-319-91262-2_7
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