activity
20232025
most citedEvent-based Background-Oriented Schlieren

36 citations · 36 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Geometric-Photometric Event-based 3D Gaussian Ray Tracing

Kai Kohyama, Yoshimitsu Aoki, Guillermo Gallego +1

Event cameras offer a high temporal resolution over traditional frame-based cameras, which makes them suitable for motion and structure estimation. However, it has been unclear how…

cs.CV2025

Iterative Event-based Motion Segmentation by Variational Contrast Maximization

Ryo Yamaki, Shintaro Shiba, Guillermo Gallego +1

Event cameras provide rich signals that are suitable for motion estimation since they respond to changes in the scene. As any visual changes in the scene produce event data, it is…

cs.CV2025

Simultaneous Motion And Noise Estimation with Event Cameras

Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego

Event cameras are emerging vision sensors whose noise is challenging to characterize. Existing denoising methods for event cameras are often designed in isolation and thus consider…

cs.CV2024

3D Human Scan With A Moving Event Camera

Kai Kohyama, Shintaro Shiba, Yoshimitsu Aoki

Capturing a 3D human body is one of the important tasks in computer vision with a wide range of applications such as virtual reality and sports analysis. However, conventional fram…

cs.CV2023★ 36 cited

Event-based Background-Oriented Schlieren

Shintaro Shiba, Friedhelm Hamann, Yoshimitsu Aoki +1

Schlieren imaging is an optical technique to observe the flow of transparent media, such as air or water, without any particle seeding. However, conventional frame-based techniques…