Performance Evaluation of Face Classification Systems

  • Giovanni Betta
  • Domenico Capriglione
  • Mariella Corvino
  • Michele Gasparetto
  • Consolatina LiguoriEmail author
  • Alfredo Paolillo
  • Emanuele Zappa
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 362)


In this paper face classification systems based on 3D images are compared in terms of classification and metrological performance in presence of image uncertainty. In previous papers the authors proposed a new approach to classification and recognition problems. It is based on the evaluation of the image uncertainty and on the exploitation of such information to provide the confidence level of classification results. Such approach is here adopted for comparing several 3D architectures, different for camera specifications and geometrical positioning, with the aims of quantifying their performance from a metrological point of view and of identifying the configuration able to optimize the result reliability.


Face Recognition Measurement Uncertainty Classification Performance Facial Image Classification Procedure 
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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Giovanni Betta
    • 1
  • Domenico Capriglione
    • 1
  • Mariella Corvino
    • 1
  • Michele Gasparetto
    • 2
  • Consolatina Liguori
    • 3
    Email author
  • Alfredo Paolillo
    • 3
  • Emanuele Zappa
    • 2
  1. 1.DIEIUniversity of Cassino and of Southern LazioCassinoItaly
  2. 2.Department of Mechanical EngineeringPolitecnico di MilanoMilanoItaly
  3. 3.DIInUniversity of SalernoFiscianoItaly

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