  In this work, we propose an edge detection algorithm by estimating a lifetime
of an event produced from dynamic vision sensor (DVS), also known as event
camera. The event camera, unlike traditional CMOS camera, generates sparse
event data at a pixel whose log-intensity changes. Due to this characteristic,
theoretically, there is only one or no event at the specific time, which makes
it difficult to grasp the world captured by the camera at a particular moment.
In this work, we present an algorithm that keeps the event alive until the
corresponding event is generated in a nearby pixel so that the shape of an edge
is preserved. Particularly, we consider a pixel area to fit a plane on Surface
of Active Events (SAE) and call the point inside the pixel area closest to the
plane as a intra-pixel-area event. These intra-pixel-area events help the
fitting plane algorithm to estimate life time robustly and precisely. Our
algorithm performs better in terms of sharpness and similarity metric than the
accumulation of events over fixed counts or time intervals, when compared with
the existing edge detection algorithms, both qualitatively and quantitatively.
