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arXiv · 2606.31760

Estimating Velocity and Spin of Spherical Objects from Rolling-Shutter Image(s)

Wenjie Xue·Jun Yang·Jingmin Wang·Limin Shang
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Abstract

Rolling-shutter cameras introduce characteristic distortions when imaging fast moving objects, and these effects are typically treated as artifacts to be corrected. In this work, we instead leverage rolling-shutter distortions as a valuable source of temporal information to estimate the 3D translational and angular velocities of rapidly moving spherical objects from a single rolling-shutter frame. We design a robust and easily detectable spherical pattern and propose a correspondence-free formulation that recovers motion by enforcing geometric consistency in a back-projection framework. By exploiting the geometry of the sphere, translational and rotational motions are decoupled and estimated through a two-stage optimization process, enabling reliable velocity recovery even for textureless objects. Extensive experiments on both synthetic and real datasets demonstrate accurate and robust estimation of motion parameters under challenging high-speed conditions.

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Wenjie Xue, Jun Yang, Jingmin Wang, Limin Shang. 2026-06-30. Estimating Velocity and Spin of Spherical Objects from Rolling-Shutter Image(s). https://arxiv.org/abs/2606.31760

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