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Procedia Computer Science
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Procedia Computer Science
Article . 2011
License: CC BY NC ND
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eMorph: Towards Neuromorphic Robotic Vision

Authors: Chiara Bartolozzi; Charles Clercq; Neeraj K. Mandloi; Francesco Rea; Giacomo Indiveri; Daniel Bernhard Fasnacht; Giorgio Metta; +2 Authors

eMorph: Towards Neuromorphic Robotic Vision

Abstract

AbstractThe eMorph project aims at introducing a new concept for vision in the field of humanoid robotics. The system that is currently being developed is inspired by the biology of mammalian visual systems, introducing concepts such as stimulus-driven signal acquisition and processing, together with space-variant sensor design coupled with active vision. This approach is leading to the realization of a system that goes beyond current thinking in robotic vision.

Keywords

vision, event-driven computation, humanoid robot, neuromorphic

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold