Order-One Rolling Shutter Cameras
Marvin Anas Hahn, Kathlén Kohn, Orlando Marigliano, Tomás Pajdla
Abstract
Rolling shutter (RS) cameras dominate consumer and smartphone markets. Several methods for computing the absolute pose of RS cameras have appeared in the last 20 years, but the relative pose problem has not been fully solved yet. We provide a unified theory for the important class of order-one rolling shutter (RS1) cameras. These cameras generalize the perspective projection to RS cameras, projecting a generic space point to exactly one image point via a rational map. We introduce a new back-projection RS camera model, characterize RS1cameras, construct explicit parameterizations of such cameras, and determine the image of a space line. We classify all minimal problems for solving the relative camera pose problem with linear RS1cameras and discover new practical cases. Finally, we show how the theory can be used to explain RS models previously used for absolute pose computation.
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Cited by top-tier papers2
- Single-Scanline Relative Pose Estimation for Rolling Shutter CamerasPetr Hruby, Marc PollefeysICCV 2025 · 2 citations
- PLMP - Point-Line Minimal Problems for Projective SfMKim Kiehn, Albin Ahlbäck, Kathlén KohnICCV 2025
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- Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter VideoBin Fan, Yuchao DaiICCV 2021 · 37 citations
- Optimizing Elimination Templates by Greedy Parameter SearchEvgeniy Martyushev, Jana Vráblíková, Tomás PajdlaCVPR 2022 · 10 citations
- Scanline Homographies for Rolling-Shutter Plane Absolute PoseFang Bai, Agniva Sengupta, Adrien BartoliCVPR 2022 · 7 citations
- Learning to Solve Hard Minimal ProblemsPetr Hruby, Timothy Duff, Anton Leykin, Tomás PajdlaCVPR 2022
- Towards Rolling Shutter Correction and Deblurring in Dynamic ScenesZhihang Zhong, Yinqiang Zheng, Imari SatoCVPR 2021
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