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Recognition of Human Faces: From Biological to Artificial Vision

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Advances in Brain, Vision, and Artificial Intelligence (BVAI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4729))

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Abstract

Face recognition is among the most challenging techniques for personal identity verification. Even though it is so natural for humans, there are still many hidden mechanisms which are still to be discovered. According to the most recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Moreover, motion processing is also involved in the selection of the most informative areas of the face and consequently directing the attention. This paper provides an overview and some new insights on the use of dynamic visual information for face recognition, both for exploiting the temporal information and to define the most relevant areas to be analyzed on the face. In this context, both physical and behavioral features emerge in the face representation.

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Authors and Affiliations

  1. DAP - University of Sassari, piazza Duomo 6 - 07041 Alghero (SS), Italy

    Massimo Tistarelli

  2. DSL - University of Sassari, piazza Università 21 - 07100 Sassari, Italy

    Linda Brodo

  3. DEIR - University of Sassari, via Torre Tonda 34 - 07100 Sassari, Italy

    Andrea Lagorio & Manuele Bicego

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  1. Massimo Tistarelli
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  2. Linda Brodo
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  3. Andrea Lagorio
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  4. Manuele Bicego
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Francesco Mele Giuliana Ramella Silvia Santillo Francesco Ventriglia

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Tistarelli, M., Brodo, L., Lagorio, A., Bicego, M. (2007). Recognition of Human Faces: From Biological to Artificial Vision. In: Mele, F., Ramella, G., Santillo, S., Ventriglia, F. (eds) Advances in Brain, Vision, and Artificial Intelligence. BVAI 2007. Lecture Notes in Computer Science, vol 4729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75555-5_19

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  • DOI: https://doi.org/10.1007/978-3-540-75555-5_19

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