How to Calibrate Your Event Camera
uzh-rpg/e2calib
“Camera calibration is an essential component of computer vision systems and has been thoroughly researched for decades. Typically, camera calibration methods extract corners from a known calibration pattern, detect the pattern and solve an optimization problem that optimizes for intrinsic and extrinsic parameters of the cameras. This approach is nowadays widely used for standard frame-based cameras. Unfortunately, this method cannot directly be used for event cameras.
Event cameras are asynchronous sensors that pose a paradigm shift in the way visual information is acquired. In contrast to standard cameras that capture frames at regular intervals, event cameras report per-pixel brightness changes as a stream of asynchronous events. Due to this property image-based corner detection does not apply to event data such that standard calibration frameworks cannot be used…”
Source: github.com/uzh-rpg/e2calib