Abstract
The number of biometric solutions based on 3D face images has increased rapidly. Such solutions provide a much more accurate alternative to those using flat images; however, they are much more complex. In this paper, we present subsequent results of our research on a new representation of characteristic points for the 3D face. As a comparative methods SOM, FCM and PCA are applied. We discuss the usefulness of these methods with the new representation of characteristic points.
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CITATION STYLE
Pabiasz, S., Starczewski, J. T., & Marvuglia, A. (2015). SOM vs FCM vs PCA in 3D face recognition. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 9120, pp. 120–129). Springer Verlag. https://doi.org/10.1007/978-3-319-19369-4_12
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