mlsanityData to 7 Oct 2026

Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry

arXiv 1605.00475 ↗First posted 2 May 2016cs.CVcited by 26

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Abstract (arXiv)

The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism. In dynamic geometric computer vision applications such as visual SLAM, the so-called rolling shutter effect therefore needs to be properly taken into account. A dedicated relative pose solver appears to be the first problem to solve, as it is of eminent importance to bootstrap any derivation of multi-view geometry. However, despite its significance, it has received inadequate attention to date. This paper presents a detailed investigation of the geometry of the rolling shutter relative pose problem. We introduce the rolling shutter essential matrix, and establish its link to existing models such as the push-broom cameras, summarized in a clean hierarchy of multi-perspective cameras. The generalization of well-established concepts from epipolar geometry is completed by a definition of the Sampson distance in the rolling shutter case. The work is concluded with a careful investigation of the introduced epipolar geometry for rolling shutter cameras on several dedicated benchmarks.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 May 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 6; 2023: 4; 2024: 5; 2025: 3; 2026: 5.

26 papers.

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  1. 2021SUNet: Symmetric Undistortion Network for Rolling Shutter Correctioncited by 20
  2. 2022Bringing Rolling Shutter Images Alive with Dual Reversed Distortioncited by 15
  3. 2022Context-Aware Video Reconstruction for Rolling Shutter Camerascited by 15
  4. 2022Learning Adaptive Warping for Real-World Rolling Shutter Correctioncited by 13
  5. 2022Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solutioncited by 13
  6. 2022Snapshot of Algebraic Visioncited by 9
  7. 2023Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correctioncited by 8
  8. 2021DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensationcited by 6
  9. 2022Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Videocited by 6
  10. 2024Order-One Rolling Shutter Camerascited by 5
  11. 2024Single Image Rolling Shutter Removal with Diffusion Modelscited by 5
  12. 2021Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera-IMU Systemcited by 4
14 more
  1. 2024URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fieldscited by 4
  2. 2025Single-Scanline Relative Pose Estimation for Rolling Shutter Camerascited by 3
  3. 2025A Linear N-Point Solver for Structure and Motion from Asynchronous Trackscited by 3
  4. 2024RSL-BA: Rolling Shutter Line Bundle Adjustmentcited by 2
  5. 2025Minimal Solvers for Full DoF Motion Estimation from Asynchronous Trackscited by 2
  6. 2023A Revisit of the Normalized Eight-Point Algorithm and A Self-Supervised Deep Solutioncited by 1
  7. 2023Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Typescited by 1
  8. 2024Simulator HC: Regression-based Online Simulation of Starting Problem-Solution Pairs for Homotopy Continuation in Geometric Visioncited by 1
  9. 2023Towards High-Frequency Tracking and Fast Edge-Aware Optimizationcited by 0
  10. 2026Single-View Rolling-Shutter SfMcited by 0
  11. 2026Rolling Shutter Relative Pose Estimation Made Practicalcited by 0
  12. 2026Estimating Velocity and Spin of Spherical Objects from Rolling-Shutter Image(s)cited by 0
  13. 2026Rolling Shutter Camera Self-Calibrationcited by 0
  14. 2026HaRP: High Dynamic Range Photosequencing through Dual Reversed Shutter Scanningcited by 0