  This work demonstrates a novel, state of the art method to reconstruct
colored images via the Dynamic Vision Sensor (DVS). The DVS is an image sensor
that indicates only a binary change in brightness, with no information about
the captured wavelength (color), or intensity level. We present a novel method
to reconstruct a full spatial resolution colored image with the DVS and an
active colored light source. We analyze the DVS response and present two
reconstruction algorithms: Linear based and Convolutional Neural Network Based.
In addition, we demonstrate our algorithm robustness to changes in
environmental conditions such as illumination and distance. Finally, comparing
with previous works, we show how we reach the state of the art results.
