High-frame-rate real-time multiscale spatiotemporal disparity on distributed low-power event-based neuromorphic hardware

High-framerate real-time spatiotemporal disparity mechanisms on neuromorphic hardware are provided. In various embodiments, a first and second spiking input sensor each output a time series of spikes corresponding to a plurality of frames. A neurosynaptic network is configured to receive the time se...

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Bibliographic Details
Main Authors Flickner, Myron D, Andreopoulos, Alexander, Kashyap, Hirak Jyoti
Format Patent
LanguageEnglish
Published 29.11.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:High-framerate real-time spatiotemporal disparity mechanisms on neuromorphic hardware are provided. In various embodiments, a first and second spiking input sensor each output a time series of spikes corresponding to a plurality of frames. A neurosynaptic network is configured to receive the time series of spikes corresponding to the plurality of frames; accumulate the time series of spikes in a ring buffer, thereby creating a plurality of temporal scales; for each corresponding pair of frames from the first and second spiking input sensors, determining a mapping of pixels in one of the pair of frames to pixels in the other of the pair of frames based on similarity; based on the pixel mapping, determining a disparity map.
Bibliography:Application Number: US201816176744