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Modelling dynamic systems transfer functions from events in computational neuromorphic imaging
Event Vision Sensing (EVS) report threshold crossings of log-irradiance, so a static optical system imaging a static scene produces no output at all. The classical procedure for measuring a Point Spread Function (PSF), illuminating the system with a constant point source, therefore has no event-based equivalent: the probe must carry a temporal profile, and that profile becomes part of the measurement. A growing body of Computational Neuromorphic Imaging (CNI) work already exploits this, pairing engineered or modulated optics with event sensing, but each system adopts a particular excitation to
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-24T14:22:47.000Z
First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.