  Event cameras provide asynchronous, data-driven measurements of local
temporal contrast over a large dynamic range with extremely high temporal
resolution. Conventional cameras capture low-frequency reference intensity
information. These two sensor modalities provide complementary information. We
propose a computationally efficient, asynchronous filter that continuously
fuses image frames and events into a single high-temporal-resolution,
high-dynamic-range image state. In absence of conventional image frames, the
filter can be run on events only. We present experimental results on
high-speed, high-dynamic-range sequences, as well as on new ground truth
datasets we generate to demonstrate the proposed algorithm outperforms existing
state-of-the-art methods.
