SOM vs FCM vs PCA in 3D Face Recognition

  • Sebastian Pabiasz
  • Janusz T. Starczewski
  • Antonino Marvuglia
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9120)

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.

Keywords

Biometric 3D face Mesh Depth map 
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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Sebastian Pabiasz
    • 1
  • Janusz T. Starczewski
    • 1
  • Antonino Marvuglia
    • 2
  1. 1.Institute of Computational IntelligenceCzestochowa University of TechnologyCzestochowaPoland
  2. 2.Public Research Centre Henri Tudor (CRPHT)Resource Centre for Environmental Technologies (CRTE)Esch-sur-AlzetteLuxembourg

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