Tistarelli, Massimo and Brodo, Linda and Lagorio, Andrea and Bicego, Manuele (2007) Recognition of human faces: from biological to artificial vision. In: Advances in Brain, Vision, and Artificial Intelligence: 2nd International Symposium, BVAI: proceedings, 10-12 October 2007, Naples, Italy. Berlin - New York, Springer. p. 191-213. (Lecture Notes in Computer Science, 4729/2007). eISSN 1611-3349. ISBN 978-3-540-75554-8. Conference or Workshop Item.
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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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