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Human brain is composed by millions of parallel neurons that process the visual information in a continuous way, spike by spike, from the information received through the retina. In this processing there are no frames in the video like it occurs in digital video. One frame every 40 ms implies information loss in between two frames. Address-Event-Representation (AER) is mechanism for multiplexing in...
Image convolution operations in digital computer systems are usually very expensive operations in terms of resource consumption (processor resources and processing time) for an efficient Real-Time application. In these scenarios the visual information is divided into frames and each one has to be completely processed before the next frame arrives in order to warranty the real-time. A spike-based philosophy...
In this demo we propose a method for computing real time convolution on AER images. For that we use signed events. The AER events produced on an AER retina or an image/video to AER conversor, are processed using a probabilistic multi event mapper that produces more than one event for each incoming event according to an assigned probability. Kernel convolution size are limited by mapping tables size...
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