Embodied neuromorphic synergy for lighting-robust machine vision to see in extreme bright.

ABSTRACT: Proper exposure settings are crucial for modern machine vision cameras to accurately convert light into clear images. However, traditional auto-exposure solutions are vulnerable to illumination changes, splitting the continuous acquisition of unsaturated images, which significantly degrades the overall performance of underlying intelligent systems. Here we present the neuromorphic exposure control (NEC) system. This system effectively alleviates the longstanding saturation problem at its core by exploiting bio-principles found in peripheral vision to compute a trilinear event double integral (TEDI). This approach enables accurate connections between events and frames in the physics space for swift irradiance prediction, ultimately facilitating rapid control parameter updates. Our experimen

SUBMITTER: Lin S 

PROVIDER: S-EPMC11686279 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature