The recently developed Dynamic Vision Sensors
(DVS) sense dynamic visual information asynchronously and
code it into trains of events with sub-micro second temporal
resolution. This high temporal precision makes the output of
these sensors especially suited for dynamic 3D visual
reconstruction, by matching corresponding events generated by
two different sensors in a stereo setup. This paper explores the
use of Gabor filters to extract information about the orientation
of the object edges that produce the events, applying the
matching algorithm to the events generated by the Gabor filters
and not to those produced by the DVS. This strategy provides
more reliably matched pairs of events, improving the final 3D
reconstruction.European Union PRI-PIMCHI-2011-0768Ministerio de Economía y Competitividad TEC2009-10639-C04-01Ministerio de Economía y Competitividad TEC2012-37868-C04-01Junta de Andalucía TIC-609
