ACM Computing Surveys (CSUR)
A low level real-time vision system using specific computing architectures
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
EHAC'09 Proceedings of the 8th WSEAS international conference on Electronics, hardware, wireless and optical communication
Bio-inspired visual signal processing based on neuromorphic circuit
IMCAS'10 Proceedings of the 9th WSEAS international conference on Instrumentation, measurement, circuits and systems
Hardware spiking neural networks: parallel implementations using FPGAs
ACMOS'06 Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation
Visual Grouping by Neural Oscillator Networks
IEEE Transactions on Neural Networks
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This paper describes the bio-inspired visual inforamtion processing by neuromorphic system, mimicking the primitive behaviour of visual cortex. The neuromorphic components are investigated for implementation of the visual signal selectivity of cortex, based on the CMOS conductance-based synaptic connections and neurons of Hodgkin-Huxley formalism. The proposed neuromorphic system exhibits the biologically plausible function mimicking the cat's visual cortex experimentation of Hubel and Wiesel. The detection of vehicle object or human head figure demonstrates the feasibilty of vision applications.