Most modern consumer-grade cameras are often equipped with a rolling shutter
mechanism, which is becoming increasingly important in computer vision, robotics and …

With the ubiquity of rolling shutter (RS) cameras, it is becoming increasingly attractive to
recover the latent global shutter (GS) video from two consecutive RS frames, which also …

This paper proposes to use neuromorphic events for correcting rolling shutter (RS) images
as consecutive global shutter (GS) frames. RS effect introduces edge distortion and region …

Rolling shutter (RS) images can be viewed as the result of the row-wise combination of
global shutter (GS) images captured by a virtual moving GS camera over the period of …

This paper proposes a real-world rolling shutter (RS) correction dataset, BS-RSC, and a
corresponding model to correct the RS frames in a distorted video. Mobile devices in the …

Camera calibration involves estimating camera parameters to infer geometric features from
captured sequences, which is crucial for computer vision and robotics. However …

We present a deep homography mixture motion model for single image rolling shutter
correction. Rolling shutter (RS) effects are often caused by row-wise exposure delay in the …

Image degradation often occurs during fast camera or object movements, regardless of the
exposure modes: global shutter (GS) or rolling shutter (RS). Since these two exposure …

Rolling shutter correction (RSC) is becoming increasingly popular for RS cameras that are
widely used in commercial and industrial applications. Despite the promising performance …

Neural Radiance Fields (NeRF) has received much attention recently due to its impressive
capability to represent 3D scene and synthesize novel view images. Existing works usually …