Rolling shutter camera: Modeling, optimization and learning
Most modern consumer-grade cameras are often equipped with a rolling shutter
mechanism, which is becoming increasingly important in computer vision, robotics and …
mechanism, which is becoming increasingly important in computer vision, robotics and …
Gaussian splatting on the move: Blur and rolling shutter compensation for natural camera motion
O Seiskari, J Ylilammi, V Kaatrasalo… - … on Computer Vision, 2024 - Springer
High-quality scene reconstruction and novel view synthesis based on Gaussian Splatting
(3DGS) typically require steady, high-quality photographs, often impractical to capture with …
(3DGS) typically require steady, high-quality photographs, often impractical to capture with …
Towards rolling shutter correction and deblurring in dynamic scenes
Joint rolling shutter correction and deblurring (RSCD) techniques are critical for the
prevalent CMOS cameras. However, current approaches are still based on conventional …
prevalent CMOS cameras. However, current approaches are still based on conventional …
Context-aware video reconstruction for rolling shutter cameras
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 …
recover the latent global shutter (GS) video from two consecutive RS frames, which also …
Sunet: symmetric undistortion network for rolling shutter correction
The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism,
leading to image distortions if the camera moves during image acquisition. In this paper, we …
leading to image distortions if the camera moves during image acquisition. In this paper, we …
Evunroll: Neuromorphic events based rolling shutter image correction
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 …
as consecutive global shutter (GS) frames. RS effect introduces edge distortion and region …
Inverting a rolling shutter camera: bring rolling shutter images to high framerate global shutter video
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 …
global shutter (GS) images captured by a virtual moving GS camera over the period of …
Learning adaptive war** for real-world rolling shutter correction
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 …
corresponding model to correct the RS frames in a distorted video. Mobile devices in the …
Deep learning for camera calibration and beyond: A survey
Camera calibration involves estimating camera parameters to infer geometric features from
captured sequences, which is crucial for computer vision and robotics. However …
captured sequences, which is crucial for computer vision and robotics. However …
Deep homography mixture for single image rolling shutter correction
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 …
correction. Rolling shutter (RS) effects are often caused by row-wise exposure delay in the …