揭示事件相机灵敏度偏置调节的理论基础，解决多变量调参难题。
On the Theory of Bias Tuning in Event Cameras
- 基于庞加莱-米尔达定理，建立偏置对事件率影响的数学模型。
- 速率预算与极性平衡原则可导出唯一最优偏置配置。
- 将复杂调参简化为可实验求解的双参数问题，适合硬件工程师参考。
本文为类脑相机（即“事件相机”）中的灵敏度偏置调节建立了理论基础。首先，以数学形式刻画了灵敏度偏置对相机事件率的高层影响。随后，根据庞加莱-米尔达定理推导出：常用的速率预算与极性平衡原则可导致灵敏度偏置的唯一配置。作为推论，采用这些原则可将多变量偏置调节问题降维为仅需两个参数的可实验求解问题。
原文摘要 · Abstract (English)
This paper lays the foundation of a theory for 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 Poincare-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.
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