Publications [#356158] of Silvia Ferrari

Papers Published

1. Tilmon, B; Jain, E; Ferrari, S; Koppal, SJ, Fast Foveating Cameras for Dense Adaptive Resolution, Ieee Transactions on Pattern Analysis and Machine Intelligence (January, 2021) [doi]
   (last updated on 2021/09/05)

   Abstract:
   Traditional cameras field of view (FOV) and resolution predetermine computer vision algorithm performance. These trade-offs decide the range and performance in computer vision algorithms. We present a novel foveating camera whose viewpoint is dynamically modulated by a programmable micro-electromechanical (MEMS) mirror, resulting in a natively high-angular resolution wide-FOV camera capable of densely and simultaneously imaging multiple regions of interest in a scene. We present calibrations, novel MEMS control algorithms, a real-time prototype, and comparisons in remote eye-tracking performance against a traditional smartphone, where high-angular resolution and wide-FOV are necessary, but traditionally unavailable.