On the theory of bias tuning in event cameras
Year: 2026
Type: article
Abstract: This paper lays the foundation for a theory of bias tuning in neuromorphic cameras, a novel sensing technology also known as “event cameras”. We begin by formulating the high-level effect of the sensitivity biases on the camera’s event rate in mathematical terms. We then show that, as a corollary of the Poincaré–Miranda theorem, the commonly used tuning principles of rate budgeting and polarity balancing lead to a unique configuration of the sensitivity biases. As a corollary, we show how by adopting these principles, the multi-variable bias-tuning problem reduces to a two-parameter problem that can be resolved experimentally.
Source: Optics & Laser Technology
Authors: David El-Chai Ben-Ezra, Daniel Brisk, Adar Tal
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,230
OpenAlex ID: W7222818875