Generalized Event Cameras
Varun Sundar, Matthew Dutson, Andrei Ardelean, Claudio Bruschini, Edoardo Charbon, Mohit Gupta
Abstract
Event cameras capture the world at high time resolution and with minimal bandwidth requirements. However, event streams, which only encode changes in brightness, do not contain sufficient scene information to support a wide variety of downstream tasks. In this work, we design generalized event cameras that inherently preserve scene intensity in a bandwidth-efficient manner. We generalize event cameras in terms of when an event is generated and what information is transmitted. To implement our designs, we turn to single-photon sensors that provide digital access to individual photon detections; this modality gives us the flexibility to realize a rich space of generalized event cameras. Our single-photon event cameras are capable of high-speed, high-fidelity imaging at low readout rates. Consequently, these event cameras can support plug-and-play downstream inference, without capturing new event datasets or designing specialized event-vision models. As a practical implication, our designs, which involve lightweight and near-sensor-compatible computations, provide a way to use single-photon sensors without exorbitant bandwidth costs.
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Install the CLIlune papers fulltext 3e4d0fc3-974a-4867-8aca-61b3f3cefd93Cited by top-tier papers3
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- SoDaCam: Software-defined Cameras via Single-Photon ImagingVarun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Bruschini et al.ICCV 2023 · 18 citations
- Passive Ultra-Wideband Single-Photon ImagingMian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell et al.ICCV 2023 · 15 citations
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