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- W1793928874 abstract "Representing a new paradigm for the processing of sensor signals, one of the greatest success stories of neuromorphic systems to date has been the emulation of sensory signal acquisition and transduction, most notably in vision. This chapter reviews some of the recent developments in bioinspired artificial vision. The abstraction of two major types of retinal ganglion cells and corresponding retina pathways appear to be increasingly relevant with respect to the creation of useful bioinspired artificial vision devices. Demanding vision tasks such as real-time 3D mapping, complex multiobject tracking, or fast visual feedback loops for sensory-motor action, tasks that often pose severe, sometimes insurmountable, challenges to conventional artificial vision systems, are in reach using bioinspired vision sensing and processing techniques. Finally, time-based imagers like asynchronous, time-based image sensor (ATIS) deliver high dynamic range (DR), high-quality imaging, and video for scientific applications like astronomical imaging, fluorescence imaging, cell monitoring, or X-ray crystallography." @default.
- W1793928874 created "2016-06-24" @default.
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- W1793928874 date "2015-08-21" @default.
- W1793928874 modified "2023-09-25" @default.
- W1793928874 title "Bioinspired Vision Sensing" @default.
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- W1793928874 doi "https://doi.org/10.1002/9783527680863.ch2" @default.
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