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A Computational Model of Face Perception

In: Systemics of Emergence: Research and Development

Author

Listed:
  • Maria Pietronilla Penna

    (Università degli Studi di Cagliari)

  • Vera Stara

    (Università Politecnica delle Marche)

  • Marco Boi

    (Università degli Studi di Cagliari)

  • Paolo Puliti

    (Università Politecnica delle Marche)

Abstract

In this paper we are interested in the perceptual aspect of face recognition that is the process that categorizes the visually perceived face into a perceptive space made by as many categories as the possible discriminations are. The question we want to answer to is if it is possible to model some aspect of face perception using a neural network architecture and if this model is able to provide any useful information about that conditions such as apperceptive prosopagnosia in which face perception appears to be impaired. We will propose an answer to these question using a computational model. The research was dived into two experiments: the first one aimed to test the ability of the network to discriminate between different faces and to generalize between similar faces and the other one aimed to investigate the behaviour of the system when noise is added to the normal operation of the network.

Suggested Citation

  • Maria Pietronilla Penna & Vera Stara & Marco Boi & Paolo Puliti, 2006. "A Computational Model of Face Perception," Springer Books, in: Gianfranco Minati & Eliano Pessa & Mario Abram (ed.), Systemics of Emergence: Research and Development, pages 223-234, Springer.
    • Handle: RePEc:spr:sprchp:978-0-387-28898-7_16
    DOI: 10.1007/0-387-28898-8_16
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