4 papers
UEOF: A Benchmark Dataset for Underwater Event-Based Optical Flow
Nick Truong, Pritam P. Karmokar, William J. Beksi
Underwater imaging is fundamentally challenging due to wavelength-dependent light attenuation, strong scattering from suspended particles, turbidity-induced blur, and non-uniform i…
Inertia-Informed Orientation Priors for Event-Based Optical Flow Estimation
Pritam P. Karmokar, William J. Beksi
Event cameras, by virtue of their working principle, directly encode motion within a scene. Many learning-based and model-based methods exist that estimate event-based optical flow…
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision
Pritam P. Karmokar, Quan H. Nguyen, William J. Beksi
Event cameras capture the motion of intensity gradients (edges) in the image plane in the form of rapid asynchronous events. When accumulated in 2D histograms, these events depict…
Vision-Based Guidance for Tracking Dynamic Objects
Pritam Karmokar, Kashish Dhal, William J. Beksi +1
In this paper, we present a novel vision-based framework for tracking dynamic objects using guidance laws based on a rendezvous cone approach. These guidance laws enable an unmanne…