Researchers have developed a new method to make rolling shutter (RS) relative pose estimation practical, a task previously hindered by the high number of point correspondences required by state-of-the-art solvers. By introducing affine correspondences (ACs) into the RS two-view geometry, the team derived novel RS-corrected affine constraints. This enables a linearized algebraic solver that can estimate pose and RS motion using only 7 ACs, achieving this in approximately 1.2 milliseconds. The method demonstrates superior accuracy on the TUM RS benchmark and comparable results to standard algorithms on global-shutter datasets. AI
IMPACT This research could enable more efficient and accurate pose estimation in consumer devices equipped with rolling shutter cameras.
RANK_REASON The cluster contains a research paper detailing a new method for rolling shutter relative pose estimation.
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