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Recognition of human faces: from biological to artificial vision

Contributo in Atti di convegno
Data di Pubblicazione:
2007
Citazione:
Recognition of human faces: from biological to artificial vision / Tistarelli, Massimo; Brodo, Linda; Lagorio, Andrea; M., Bicego. - LNCS 4729:(2007), pp. 191-213. (Intervento presentato al convegno International Symposium on Brain Vision and Artificial Intelligence tenutosi a Napoli, Italia nel 10 - 12 ottobre 2007) [10.1007/978-3-540-75555-5_19].
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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Tistarelli, Massimo; Brodo, Linda; Lagorio, Andrea; M., Bicego
Autori di Ateneo:
BRODO Linda
LAGORIO Andrea
TISTARELLI Massimo
Link alla scheda completa:
https://iris.uniss.it/handle/11388/52274
Titolo del libro:
Proceedings of Advances in Brain, Vision, and Artificial Intelligence
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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