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Vision processing is a topic traditionally associated with neurobiology; known to encode, process and interpret visual data most effectively. For example, the human retina; an exquisite sheet of neurobiological wetware, is amongst the most powerful and efficient vision processors known to mankind. With improving integrated technologies, this has generated considerable research interest in the microelectronics community in a quest to develop effective, efficient and robust vision processing hardware with real-time capability. This book describes the design of a bio-inspired hybrid…mehr

Produktbeschreibung
Vision processing is a topic traditionally associated
with neurobiology; known to encode, process and
interpret visual data most effectively. For example,
the human retina; an exquisite sheet of
neurobiological wetware, is amongst the most powerful
and efficient vision processors known to mankind.
With improving integrated technologies, this has
generated considerable research interest in the
microelectronics community in a quest to develop
effective, efficient and robust vision processing
hardware with real-time capability. This book
describes the design of a bio-inspired hybrid
analogue/digital chip for centroiding, sizing and
counting of enclosed objects. This chip is the first
silicon retina capable of centroiding and sizing
multiple objects in true parallel fashion. Based on a
novel distributed architecture, this system achieves
ultra-fast and ultra-low power operation in
comparison to conventional techniques. The techniques
developed are applicable to vision and sensory
processing applications in general that require
processing of large numbers of parallel inputs,
normally presenting a computational bottleneck.
Autorenporträt
Dr Constandinou is the Research Officer in Bionics at the
Institute of Biomedical Engineering at Imperial College London.
He received both his BEng and PhD degrees from Imperial in
Electronic Engineering. His research is in integrated
microtechnology, with emphasis on ultra-low power circuits &
systems for bio-applied and bio-inspired applications.