Continuous-time Intensity Estimation Using Event Cameras

We present a method to reconstruct image intensity using an event camera. Our method runs in real-time, and outputs a continuous-time image intensity state with microsecond temporal resolution, and high dynamic range. We use a per-pixel complementary filter to fuse image frames with events. If no frames are available, our method also performs well using only events.

Reference: Cedric Scheerlinck, Nick Barnes, Robert Mahony, "Continuous-time Intensity Estimation Using Event Cameras", Asian Conference on Computer Vision (ACCV), Perth, 2018.





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