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Panhellenic Conference on Informatics

PCI 2001: Advances in Informatics pp 297–315Cite as

PROSOPO - A Face Image Synthesis System

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2563))

Abstract

In this paper we address the problem of synthesizing face images displaying prede.ned facial attributes, such as the shape and color of the overall face, the shape and color of individual facial features and the age of the subject shown in the synthesized image. The face image synthesis method is based on a statistical face model that enables the reversible representation of face images using a small number of parameters. By manipulating the parameters of the face model it is possible to generate di.erent instances of faces. We describe how the mathematical relationship between the model-based representation of faces and facial attributes of interest can be de.ned and used for transforming a set of facial attributes to model parameters, so that a face image consistent with the description provided can be synthesized. Our methodology can be applied to the problem of generating facial images of suspects based on witness’s descriptions.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Cyprus College, P.O Box 260002, Nicosia, Cyprus

    Andreas Lanitis

Authors
  1. Andreas Lanitis
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Editor information

Editors and Affiliations

  1. Dept. of Informatics, Aristotle University, 54006, Thessaloniki, Greece

    Yannis Manolopoulos

  2. Dept. of Computer Science, University of Cyprus, P.O. Box 20537, 1678, Nicosia, Cyprus

    Skevos Evripidou  & Antonis C. Kakas  & 

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© 2003 Springer-Verlag Berlin Heidelberg

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Lanitis, A. (2003). PROSOPO - A Face Image Synthesis System. In: Manolopoulos, Y., Evripidou, S., Kakas, A.C. (eds) Advances in Informatics. PCI 2001. Lecture Notes in Computer Science, vol 2563. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-38076-0_20

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  • DOI: https://doi.org/10.1007/3-540-38076-0_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-07544-8

  • Online ISBN: 978-3-540-38076-4

  • eBook Packages: Springer Book Archive

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