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Geometric Models of Rolling-Shutter Cameras

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arxiv cs/0503076 v1 pith:7FONKDXR submitted 2005-03-29 cs.CV cs.RO

classification cs.CVcs.RO
keywords camerarollingprojectionshuttercamerasmotionapproximatedevelop
verification ladder T0 review T1 audit T2 compute T3 formal
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Cameras with rolling shutters are becoming more common as low-power, low-cost CMOS sensors are being used more frequently in cameras. The rolling shutter means that not all scanlines are exposed over the same time interval. The effects of a rolling shutter are noticeable when either the camera or objects in the scene are moving and can lead to systematic biases in projection estimation. We develop a general projection equation for a rolling shutter camera and show how it is affected by different types of camera motion. In the case of fronto-parallel motion, we show how that camera can be modeled as an X-slit camera. We also develop approximate projection equations for a non-zero angular velocity about the optical axis and approximate the projection equation for a constant velocity screw motion. We demonstrate how the rolling shutter effects the projective geometry of the camera and in turn the structure-from-motion.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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

    cs.CV 2026-06 unverdicted novelty 6.0 of 10

    A correspondence-free two-stage optimization recovers translational and rotational velocities of patterned spheres from rolling-shutter distortions via geometric consistency in back-projection.

  2. Rolling Shutter Camera Self-Calibration

    cs.CV 2026-08 conditional novelty 5.0 of 10

    A target-free bundle adjustment method jointly estimates camera intrinsics and the row readout time ratio for rolling shutter cameras by combining continuous-time trajectory estimation with correction-field rectification.

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

    cs.CV 2026-06 unverdicted novelty 5.0 of 10

    A correspondence-free geometric method estimates translational and angular velocities of spheres from rolling-shutter image distortions via back-projection consistency and two-stage optimization.

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