Nevindu M. Batagoda

IEEE ICCP 2026

ShutterEventsShutter Modulation for
Static-Dynamic Scene Recovery

Learning free reconstruction of static and dynamic scenes using Event Cameras.

Nevindu M. Batagoda*1 Ramchander Rao Bhaskara*1 Christopher Metzler2 Adithya Pediredla1

1Rendering and Imaging Science Lab, Dartmouth College 2Intelligent Sensing Lab, University of Maryland * Equal contribution

Paper BibTeX
ShutterEvents system schematic, working hardware prototype, recorded shutter events, event-count calibration curve, static reconstruction, and separated dynamic events
A programmable LCD shutter globally modulates incoming light, making static content observable as events. A calibrated event-count mapping recovers intensity, while synchronized shutter responses are separated from true scene dynamics. Open full resolution

Method at a glance

Static + dynamic scene reconstruction.
One event camera.

ShutterEvents modulates the light incident on the event camera, using a low-cost LCD shutter and uses the resulting event statistics to reconstruct both static and dynamic scenes.

01

Modulate

A low-cost LCD shutter converts otherwise invisible static intensity into temporally structured event activity.

02

Reconstruct

Shutter modulation creates a monotonic relationship between event counts and intensity, enabling scene reconstruction without the need for a learned prior.

03

Separate

Preserve the dynamic sensing capabilities of the event camera by suppressing the shutter frequencies in the modulated event signal to separate static and dynamic components.

Paper

Abstract

Event cameras capture changes in log intensity asynchronously, enabling high temporal resolution and dynamic range for dynamic scenes. However, because they respond only to intensity changes, they are fundamentally insensitive to static or slowly varying content, leading existing event-to-video methods to rely on camera motion or hallucinate missing structure. Prior efforts to recover static information either exploit Poisson noise events - requiring long integration times - or employ mechanical shutters to convert event cameras into intensity sensors, sacrificing temporal resolution.

We introduce ShutterEvents, a lightweight sensing framework that enables simultaneous recovery of static and dynamic scene content using a low-cost ($7) programmable LCD shutter. By imposing controlled temporal modulation on incoming light, static intensities are transformed into predictable brightness variations that generate informative events even under a stationary camera. We show that the induced mapping between event statistics and scene intensity is injective, enabling a learning-free reconstruction of static structure directly from event measurements.

To separate shutter-induced responses from true scene dynamics, we propose an event decomposition algorithm that leverages the global temporal synchronization introduced by the modulation signal. Experiments on both simulated and real data demonstrate that ShutterEvents recovers meaningful static structure while preserving dynamic fidelity, without long integration times and with minimal hardware overhead.

Event cameras Scene reconstruction Coded exposure Learning-free reconstruction

Cite this work

BibTeX

@inproceedings{batagoda2026shutterevents,
  title     = {ShutterEvents: Shutter Modulation for Static-Dynamic Scene Recovery},
  author    = {Batagoda, Nevindu M. and Bhaskara, Ramchander Rao and Metzler, Christopher and Pediredla, Adithya},
  booktitle = {2026 IEEE International Conference on Computational Photography (ICCP)},
  year      = {2026},
  url       = {https://nevindu.github.io/publications/shutterevents/}
}