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Artificial Microsaccade Compensation: Stable Vision for an Ornithopter

Published: December 3, 2025 | arXiv ID: 2512.03995v1

By: Levi Burner, Guido de Croon, Yiannis Aloimonos

Potential Business Impact:

Makes shaky drone videos clear and smooth.

Business Areas:
Image Recognition Data and Analytics, Software

Animals with foveated vision, including humans, experience microsaccades, small, rapid eye movements that they are not aware of. Inspired by this phenomenon, we develop a method for "Artificial Microsaccade Compensation". It can stabilize video captured by a tailless ornithopter that has resisted attempts to use camera-based sensing because it shakes at 12-20 Hz. Our approach minimizes changes in image intensity by optimizing over 3D rotation represented in SO(3). This results in a stabilized video, computed in real time, suitable for human viewing, and free from distortion. When adapted to hold a fixed viewing orientation, up to occasional saccades, it can dramatically reduce inter-frame motion while also benefiting from an efficient recursive update. When compared to Adobe Premier Pro's warp stabilizer, which is widely regarded as the best commercial video stabilization software available, our method achieves higher quality results while also running in real time.

Country of Origin
🇺🇸 United States

Page Count
29 pages

Category
Computer Science:
Robotics