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Biologically-inspired Computer Vision - Fundamentals and Applications (Hardcover)
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Biologically-inspired Computer Vision - Fundamentals and Applications (Hardcover)
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As the state-of-the-art imaging technologies became more and more
advanced, yielding scientific data at unprecedented detail and
volume, the need to process and interpret all the data has made
image processing and computer vision increasingly important.
Sources of data that have to be routinely dealt with today's
applications include video transmission, wireless communication,
automatic fingerprint processing, massive databanks, non-weary and
accurate automatic airport screening, robust night vision, just to
name a few. Multidisciplinary inputs from other disciplines such as
physics, computational neuroscience, cognitive science,
mathematics, and biology will have a fundamental impact in the
progress of imaging and vision sciences. One of the advantages of
the study of biological organisms is to devise very different type
of computational paradigms by implementing a neural network with a
high degree of local connectivity. This is a comprehensive and
rigorous reference in the area of biologically motivated vision
sensors. The study of biologically visual systems can be considered
as a two way avenue. On the one hand, biological organisms can
provide a source of inspiration for new computational efficient and
robust vision models and on the other hand machine vision
approaches can provide new insights for understanding biological
visual systems. Along the different chapters, this book covers a
wide range of topics from fundamental to more specialized topics,
including visual analysis based on a computational level, hardware
implementation, and the design of new more advanced vision sensors.
The last two sections of the book provide an overview of a few
representative applications and current state of the art of the
research in this area. This makes it a valuable book for graduate,
Master, PhD students and also researchers in the field.
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