SOM vs FCM vs PCA in 3D face recognition

Auteurs

S. Pabiasz, J. Starczewski, and A. Marvuglia

Référence

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 9120, pp. 120-129, 2015

Description

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.

Lien

doi: 10.1007/978-3-319-19369-4-12