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How can computers recognize faces? Why are caricatures of famous
faces so easily recognized? Originally published in 1995, much of
the previous research on face recognition had been phenomena
driven. Recent empirical work together with the application of
computational, mathematical and statistical techniques have
provided new ways of conceptualizing the information available in
faces. These advances have led researchers to suggest that many
phenomena can be explained by the structure of the information
available in the population(s) of faces. This broad approach has
drawn together a number of apparently disparate phenomena with a
common theoretical basis, including cross-race recognition; the
distinctiveness of faces; the production and recognition of
caricatures; and the determinants of facial attractiveness. This
title provides a state of the art review of the field at the time
in which the authors use a wide variety of approaches. What is
common to all is that the authors base the accounts of the
phenomena they study or their model of face recognition on the
statistics of the information available in the population of faces.
On publication this title was a comprehensive, up-to-date review of
an important area of research in face recognition written by active
researchers. It includes contributions from mathematics, computer
science and neural network theory as well as psychology. It is
aimed at research workers and postgraduate students and will be of
interest to cognitive psychologists and computer scientists
interested in face recognition. It will also be of interest to
those working on neural network models of visual recognition,
perceptual development, expertise in visual cognition as well as
facial attractiveness and caricature.
It's on the tip of my tongue, but I can't remember her name." Lots
of people have difficulty remembering people's names, even though
they can easily recall other information about the person. As
memory and retrieval processes are central to cognitive psychology
and neuropsychology the study of proper names makes a fascinating
and practical focus of study. Using an information processing
approach, Valentine, Brennen and Bredart consider evidence from
speech production, face recognition and word recognition to develop
a new functional model of the production and recognition of
people's names.
This book will be valuable to all those studying cognitive
psychology, cognitive neuropsychology and linguistics. It makes a
suitalbe text for higher level undergraduates and postgraduates and
those engaged in research.
How can computers recognize faces? Why are caricatures of famous
faces so easily recognized? Originally published in 1995, much of
the previous research on face recognition had been phenomena
driven. Recent empirical work together with the application of
computational, mathematical and statistical techniques have
provided new ways of conceptualizing the information available in
faces. These advances have led researchers to suggest that many
phenomena can be explained by the structure of the information
available in the population(s) of faces. This broad approach has
drawn together a number of apparently disparate phenomena with a
common theoretical basis, including cross-race recognition; the
distinctiveness of faces; the production and recognition of
caricatures; and the determinants of facial attractiveness. This
title provides a state of the art review of the field at the time
in which the authors use a wide variety of approaches. What is
common to all is that the authors base the accounts of the
phenomena they study or their model of face recognition on the
statistics of the information available in the population of faces.
On publication this title was a comprehensive, up-to-date review of
an important area of research in face recognition written by active
researchers. It includes contributions from mathematics, computer
science and neural network theory as well as psychology. It is
aimed at research workers and postgraduate students and will be of
interest to cognitive psychologists and computer scientists
interested in face recognition. It will also be of interest to
those working on neural network models of visual recognition,
perceptual development, expertise in visual cognition as well as
facial attractiveness and caricature.
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Higher
Michael Buble
CD
(1)
R487
Discovery Miles 4 870
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